Server definition

Hash: sha256:aaec38fe02558835b623a4283fd0540379b4a8657ac9a1abd419e6899e1d2158
What it is: What a remote MCP server returned when asked what it offers: 3 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "Use answer_query to get a grounded answer to a query about Google developer products. This tool has limited quota. This tool will synthesize information from the corpus to generate an answer to the query. answer_query grounds answers using the same corpus as search_documents. \nThis tool returns the generated answer_text and a list of document names (references) used to generate the answer. Use get_documents with the document names to fetch the entire document content if needed.\n\nIf you get a 429 out of quota error, use search_documents instead.\n",
      "inputSchema": {
        "description": "Request message for AnswerQuery.",
        "properties": {
          "query": {
            "description": "Required. The query to answer.",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "answer_query",
      "outputSchema": {
        "description": "Response message for AnswerQuery.",
        "properties": {
          "answerText": {
            "description": "The answer to the query.",
            "type": "string"
          },
          "references": {
            "description": "Output only. The resource names of the documents used to generate the answer.",
            "items": {
              "type": "string"
            },
            "readOnly": true,
            "type": "array"
          }
        },
        "type": "object"
      }
    },
    {
      "description": "Use this tool to retrieve the full content of a single document or up to 20 documents in a single call. The document names should be obtained from the `parent` field of results from a call to the `search_documents` tool. Set the `names` parameter to a list of document names.",
      "inputSchema": {
        "description": "Request schema for `get_documents`.",
        "properties": {
          "names": {
            "description": "Required. The names of the documents to retrieve, as returned by `search_documents`. A maximum of 20 documents can be retrieved in one call. The documents are returned in the same order as the `names` in the request. Format: `documents/{uri_without_scheme}` Example: `documents/docs.cloud.google.com/storage/docs/creating-buckets`",
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "names"
        ],
        "type": "object"
      },
      "name": "get_documents",
      "outputSchema": {
        "$defs": {
          "Document": {
            "description": "A Document represents a piece of content from the Developer Knowledge corpus.",
            "properties": {
              "content": {
                "description": "Output only. The content of the document in Markdown format.",
                "readOnly": true,
                "type": "string"
              },
              "description": {
                "description": "Output only. A description of the document.",
                "readOnly": true,
                "type": "string"
              },
              "name": {
                "description": "Identifier. The resource name of the document. Format: `documents/{uri_without_scheme}` Example: `documents/docs.cloud.google.com/storage/docs/creating-buckets`",
                "type": "string",
                "x-google-identifier": true
              },
              "title": {
                "description": "Output only. The title of the document.",
                "readOnly": true,
                "type": "string"
              },
              "uri": {
                "description": "Output only. The URI of the content, such as `https://cloud.google.com/storage/docs/creating-buckets`.",
                "readOnly": true,
                "type": "string"
              }
            },
            "type": "object"
          }
        },
        "description": "Response schema for `get_documents`.",
        "properties": {
          "documents": {
            "description": "Documents requested.",
            "items": {
              "$ref": "#/$defs/Document"
            },
            "type": "array"
          }
        },
        "type": "object"
      }
    },
    {
      "description": "Use this tool to find documentation about Google developer products. The documents contain official APIs, code snippets, release notes, best practices, guides, debugging info, and more. It covers the following products and domains:\n\n\n* ADK: adk.dev\n\n* Android: developer.android.com\n\n* Apigee: docs.apigee.com\n\n* Chrome: developer.chrome.com\n\n* Dart: dart.dev\n\n* Firebase: firebase.google.com\n\n* Flutter: docs.flutter.dev\n\n* Fuchsia: fuchsia.dev\n\n* Gemini CLI: geminicli.com\n\n* Genkit: genkit.dev\n\n* Go: go.dev\n\n* Google AI: ai.google.dev\n\n* Google Antigravity: antigravity.google\n\n* Google Cloud: cloud.google.com & docs.cloud.google.com\n\n* Google Developers, Ads, Search, Google Maps, Youtube: developers.google.com\n\n* Google Home: developers.home.google.com\n\n* Google Maps Platform: mapsplatform.google.com\n\n* TensorFlow: www.tensorflow.org\n\n* Web: web.dev\n\n\nThis tool returns chunks of text, names, and URLs for matching documents. If the returned chunks are not detailed enough to answer the user's question, use `get_documents` with the `parent` from this tool's output to retrieve the full document content.\n",
      "inputSchema": {
        "description": "Request schema for `search_documents`. Use the `query` field to search for related Google developer documentation.",
        "properties": {
          "query": {
            "description": "Required. The raw query string provided by the user, such as \"How to create a Cloud Storage bucket?\".",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_documents",
      "outputSchema": {
        "$defs": {
          "DocumentChunk": {
            "description": "A DocumentChunk represents a piece of content from a Document in the DeveloperKnowledge corpus. To fetch the entire document content, pass the `parent` to `get_documents`.",
            "properties": {
              "content": {
                "description": "Output only. The content of the document chunk.",
                "readOnly": true,
                "type": "string"
              },
              "id": {
                "description": "Output only. The ID of this chunk within the document. The chunk ID is unique within a document, but not globally unique across documents. The chunk ID is not stable and may change over time.",
                "readOnly": true,
                "type": "string"
              },
              "parent": {
                "description": "Output only. The resource name of the document this chunk is from. Format: `documents/{uri_without_scheme}` Example: `documents/docs.cloud.google.com/storage/docs/creating-buckets`",
                "readOnly": true,
                "type": "string"
              }
            },
            "type": "object"
          }
        },
        "description": "Response schema for `search_documents`.",
        "properties": {
          "results": {
            "description": "The search results for the given query. Each DocumentChunk in this list contains a snippet of content relevant to the search query. Use the `DocumentChunk.parent` field of each result with `get_documents` to retrieve the full document content.",
            "items": {
              "$ref": "#/$defs/DocumentChunk"
            },
            "type": "array"
          }
        },
        "type": "object"
      }
    }
  ]
}

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