Refactor MCP server tool definitions and workflows

- Removed unused tool endpoints and schemas to streamline the codebase.
- Consolidated tool descriptions to emphasize a 3-layer workflow for memory search.
- Updated input schemas and handler functions for clarity and efficiency.
- Enhanced documentation within tool descriptions for better user guidance.
This commit is contained in:
Alex Newman
2025-12-28 23:25:26 -05:00
parent 656a7f7c0f
commit 979918d202
2 changed files with 57 additions and 243 deletions
File diff suppressed because one or more lines are too long
+33 -235
View File
@@ -37,76 +37,7 @@ const WORKER_BASE_URL = `http://${WORKER_HOST}:${WORKER_PORT}`;
*/
const TOOL_ENDPOINT_MAP: Record<string, string> = {
'search': '/api/search',
'timeline': '/api/timeline',
'get_recent_context': '/api/context/recent',
'get_context_timeline': '/api/context/timeline',
'help': '/api/instructions'
};
/**
* Detailed parameter schemas for each tool
*/
const TOOL_SCHEMAS: Record<string, any> = {
search: {
query: { type: 'string', description: 'Full-text search query' },
type: { type: 'string', description: 'Filter by type: tool_use, tool_result, prompt, summary' },
obs_type: { type: 'string', description: 'Observation type filter' },
concepts: { type: 'string', description: 'Comma-separated concept tags' },
files: { type: 'string', description: 'Comma-separated file paths' },
project: { type: 'string', description: 'Project name filter' },
dateStart: { type: ['string', 'number'], description: 'Start date (ISO or timestamp)' },
dateEnd: { type: ['string', 'number'], description: 'End date (ISO or timestamp)' },
limit: { type: 'number', description: 'Max results (default: 10)' },
offset: { type: 'number', description: 'Result offset for pagination' },
orderBy: { type: 'string', description: 'Sort order: created_at, relevance' }
},
timeline: {
query: { type: 'string', description: 'Search query to find anchor point' },
anchor: { type: 'number', description: 'Observation ID as timeline center' },
depth_before: { type: 'number', description: 'Observations before anchor (default: 5)' },
depth_after: { type: 'number', description: 'Observations after anchor (default: 5)' },
type: { type: 'string', description: 'Filter by type' },
concepts: { type: 'string', description: 'Comma-separated concept tags' },
files: { type: 'string', description: 'Comma-separated file paths' },
project: { type: 'string', description: 'Project name filter' }
},
get_recent_context: {
limit: { type: 'number', description: 'Max results (default: 20)' },
type: { type: 'string', description: 'Filter by type' },
concepts: { type: 'string', description: 'Comma-separated concept tags' },
files: { type: 'string', description: 'Comma-separated file paths' },
project: { type: 'string', description: 'Project name filter' },
dateStart: { type: ['string', 'number'], description: 'Start date' },
dateEnd: { type: ['string', 'number'], description: 'End date' }
},
get_context_timeline: {
anchor: { type: 'number', description: 'Observation ID (required)', required: true },
depth_before: { type: 'number', description: 'Observations before anchor' },
depth_after: { type: 'number', description: 'Observations after anchor' },
type: { type: 'string', description: 'Filter by type' },
concepts: { type: 'string', description: 'Comma-separated concept tags' },
files: { type: 'string', description: 'Comma-separated file paths' },
project: { type: 'string', description: 'Project name filter' }
},
get_observations: {
ids: { type: 'array', items: { type: 'number' }, description: 'Array of observation IDs (required)', required: true },
orderBy: { type: 'string', description: 'Sort order' },
limit: { type: 'number', description: 'Max results' },
project: { type: 'string', description: 'Project filter' }
},
help: {
operation: { type: 'string', description: 'Operation type: "observations", "timeline", "sessions", etc.' },
topic: { type: 'string', description: 'Specific topic for help' }
},
get_observation: {
id: { type: 'number', description: 'Observation ID (required)', required: true }
},
get_session: {
id: { type: 'number', description: 'Session ID (required)', required: true }
},
get_prompt: {
id: { type: 'number', description: 'Prompt ID (required)', required: true }
}
'timeline': '/api/timeline'
};
/**
@@ -154,47 +85,6 @@ async function callWorkerAPI(
}
}
/**
* Call Worker HTTP API with path parameter (GET)
*/
async function callWorkerAPIWithPath(
endpoint: string,
id: number
): Promise<{ content: Array<{ type: 'text'; text: string }>; isError?: boolean }> {
logger.debug('HTTP', 'Worker API request (path)', undefined, { endpoint, id });
try {
const url = `${WORKER_BASE_URL}${endpoint}/${id}`;
const response = await fetch(url);
if (!response.ok) {
const errorText = await response.text();
throw new Error(`Worker API error (${response.status}): ${errorText}`);
}
const data = await response.json();
logger.debug('HTTP', 'Worker API success (path)', undefined, { endpoint, id });
// Wrap raw data in MCP format
return {
content: [{
type: 'text' as const,
text: JSON.stringify(data, null, 2)
}]
};
} catch (error: any) {
logger.error('HTTP', 'Worker API error (path)', undefined, { endpoint, id, error: error.message });
return {
content: [{
type: 'text' as const,
text: `Error calling Worker API: ${error.message}`
}],
isError: true
};
}
}
/**
* Call Worker HTTP API with POST body
*/
@@ -260,38 +150,42 @@ async function verifyWorkerConnection(): Promise<boolean> {
*/
const tools = [
{
name: 'get_schema',
description: 'Get parameter schema for a tool. Call get_schema(tool_name) for details',
name: '__IMPORTANT',
description: `3-LAYER WORKFLOW (ALWAYS FOLLOW):
1. search(query) Get index with IDs (~50-100 tokens/result)
2. timeline(anchor=ID) Get context around interesting results
3. get_observations([IDs]) Fetch full details ONLY for filtered IDs
NEVER fetch full details without filtering first. 10x token savings.`,
inputSchema: {
type: 'object',
properties: { tool_name: { type: 'string' } },
required: ['tool_name']
properties: {}
},
handler: async (args: any) => {
// Validate tool_name to prevent prototype pollution
const toolName = args.tool_name;
if (typeof toolName !== 'string' || !Object.hasOwn(TOOL_SCHEMAS, toolName)) {
return {
content: [{
type: 'text' as const,
text: `Unknown tool: ${toolName}\n\nAvailable tools: ${Object.keys(TOOL_SCHEMAS).join(', ')}`
}],
isError: true
};
}
handler: async () => ({
content: [{
type: 'text' as const,
text: `# Memory Search Workflow
const schema = TOOL_SCHEMAS[toolName];
return {
content: [{
type: 'text' as const,
text: `# ${toolName} Parameters\n\n${JSON.stringify(schema, null, 2)}`
}]
};
}
**3-Layer Pattern (ALWAYS follow this):**
1. **Search** - Get index of results with IDs
\`search(query="...", limit=20, project="...")\`
Returns: Table with IDs, titles, dates (~50-100 tokens/result)
2. **Timeline** - Get context around interesting results
\`timeline(anchor=<ID>, depth_before=3, depth_after=3)\`
Returns: Chronological context showing what was happening
3. **Fetch** - Get full details ONLY for relevant IDs
\`get_observations(ids=[...])\` # ALWAYS batch for 2+ items
Returns: Complete details (~500-1000 tokens/result)
**Why:** 10x token savings. Never fetch full details without filtering first.`
}]
})
},
{
name: 'search',
description: 'Search memory. All parameters optional - call get_schema("search") for details',
description: 'Step 1: Search memory. Returns index with IDs. Params: query, limit, project, type, obs_type, dateStart, dateEnd',
inputSchema: {
type: 'object',
properties: {},
@@ -304,7 +198,7 @@ const tools = [
},
{
name: 'timeline',
description: 'Timeline context. All parameters optional - call get_schema("timeline") for details',
description: 'Step 2: Get context around results. Params: anchor (observation ID), depth_before, depth_after, project',
inputSchema: {
type: 'object',
properties: {},
@@ -315,78 +209,16 @@ const tools = [
return await callWorkerAPI(endpoint, args);
}
},
{
name: 'get_recent_context',
description: 'Recent context. All parameters optional - call get_schema("get_recent_context") for details',
inputSchema: {
type: 'object',
properties: {},
additionalProperties: true
},
handler: async (args: any) => {
const endpoint = TOOL_ENDPOINT_MAP['get_recent_context'];
return await callWorkerAPI(endpoint, args);
}
},
{
name: 'get_context_timeline',
description: 'Timeline around observation ID',
inputSchema: {
type: 'object',
properties: {
anchor: {
type: 'number',
description: 'Observation ID (required). Optional params: get_schema("get_context_timeline")'
}
},
required: ['anchor'],
additionalProperties: true
},
handler: async (args: any) => {
const endpoint = TOOL_ENDPOINT_MAP['get_context_timeline'];
return await callWorkerAPI(endpoint, args);
}
},
{
name: 'help',
description: 'Get detailed docs. All parameters optional - call get_schema("help") for details',
inputSchema: {
type: 'object',
properties: {},
additionalProperties: true
},
handler: async (args: any) => {
const endpoint = TOOL_ENDPOINT_MAP['help'];
return await callWorkerAPI(endpoint, args);
}
},
{
name: 'get_observation',
description: 'Fetch observation by ID',
inputSchema: {
type: 'object',
properties: {
id: {
type: 'number',
description: 'Observation ID (required)'
}
},
required: ['id']
},
handler: async (args: any) => {
return await callWorkerAPIWithPath('/api/observation', args.id);
}
},
{
name: 'get_observations',
description: 'Batch fetch observations',
description: 'Step 3: Fetch full details for filtered IDs. Params: ids (array of observation IDs), project',
inputSchema: {
type: 'object',
properties: {
ids: {
type: 'array',
items: { type: 'number' },
description: 'Array of observation IDs (required). Optional params: get_schema("get_observations")'
description: 'Array of observation IDs to fetch (required)'
}
},
required: ['ids'],
@@ -395,40 +227,6 @@ const tools = [
handler: async (args: any) => {
return await callWorkerAPIPost('/api/observations/batch', args);
}
},
{
name: 'get_session',
description: 'Fetch session by ID',
inputSchema: {
type: 'object',
properties: {
id: {
type: 'number',
description: 'Session ID (required)'
}
},
required: ['id']
},
handler: async (args: any) => {
return await callWorkerAPIWithPath('/api/session', args.id);
}
},
{
name: 'get_prompt',
description: 'Fetch prompt by ID',
inputSchema: {
type: 'object',
properties: {
id: {
type: 'number',
description: 'Prompt ID (required)'
}
},
required: ['id']
},
handler: async (args: any) => {
return await callWorkerAPIWithPath('/api/prompt', args.id);
}
}
];