{ "openapi": "3.0.1", "info": { "title": "MCP Tool Description Optimizer", "description": "Optimizes MCP tool descriptions and input schemas with scores, risks, rewrites, and warnings. Export data, run via API, schedule and monitor runs, or integrate with other tools.", "version": "0.1", "x-build-id": "9FzjC6uzUs0MKXrV8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/trovevault~mcp-tool-description-optimizer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-trovevault-mcp-tool-description-optimizer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/trovevault~mcp-tool-description-optimizer/runs": { "post": { "operationId": "runs-sync-trovevault-mcp-tool-description-optimizer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/trovevault~mcp-tool-description-optimizer/run-sync": { "post": { "operationId": "run-sync-trovevault-mcp-tool-description-optimizer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "toolsJson": { "title": "MCP Tools JSON", "type": "string", "description": "Paste MCP tool definitions as JSON. Accepted formats: a single {\"name\":\"...\"} tool, an array like [{\"name\":\"search_documents\"}], or a tools/list response such as {\"tools\":[...]}. Leave blank only when runId points to a previous run dataset containing tool rows." }, "agentContext": { "title": "Agent Context (optional)", "type": "string", "description": "Describe the agent workflow, tool catalog, or repeated wrong-tool-call pattern. Examples: \"support agent with search and ticket update tools\" or \"knowledge-base agent with search and delete tools\". Leave blank for generic MCP routing guidance." }, "optimizationGoal": { "title": "Optimization Goal", "enum": [ "tool_selection_accuracy", "reduce_wrong_tool_calls", "schema_clarity", "compact_descriptions" ], "type": "string", "description": "Choose the main optimization target. tool_selection_accuracy gives the broadest rewrite, reduce_wrong_tool_calls emphasizes use/avoid boundaries, schema_clarity focuses on argument metadata, and compact_descriptions keeps output shorter. Default: tool_selection_accuracy.", "default": "tool_selection_accuracy" }, "datasetId": { "title": "Dataset ID (optional)", "type": "string", "description": "Optional Apify dataset ID that receives a copy of every output row in addition to the default run dataset. Use an existing dataset ID such as \"abc123\" for shared review pipelines. Leave blank to write only to the default dataset." }, "runId": { "title": "Run ID (optional)", "type": "string", "description": "Optional upstream Apify run ID used for pipeline joins and dataset reuse. If toolsJson is blank, the actor reads MCP tool rows from that run's default dataset; otherwise it copies this ID into each output row. Leave blank for standalone runs." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }