# answer_query

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. This 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. If you get a 429 out of quota error, use search_documents instead.

Agent View of the PolicyLayer registry record for `answer_query`. HTML page: https://policylayer.com/tools/com-googleapis-developerknowledge-mcp/answer-query

## Facts

- Tool: `answer_query`
- Server: Mcp (`https://developerknowledge.googleapis.com/mcp`) — https://policylayer.com/tools/com-googleapis-developerknowledge-mcp.md
- Homepage: https://github.com/https://developerknowledge.googleapis.com/mcp
- Risk category: Read (Low risk)
- Registry record: grade D, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 1 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `query` | string | yes | Required. The query to answer. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "answer_query",
    "arguments": {
      "query": "<query>"
    }
  }
}
```

## Why answer_query is rated Low

This tool retrieves and synthesizes existing information from a read-only documentation corpus. It has no capability to modify data, execute code, delete resources, or perform financial transactions. The 'limited quota' constraint is a rate-limiting measure, not a capability indicator. The tool's purpose is purely informational retrieval, making it a Read operation with low severity risk.

From the tool's own definition: "Tool description states it 'get[s] a grounded answer' and 'synthesize[s] information from the corpus to generate an answer.' The tool returns 'the generated answer_text and a list of document names' from Google's public developer documentation without…"

Risk signals: Bulk/mass operation — affects multiple targets

## Use case

AI agents call answer_query to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Mcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "answer_query": {}
  }
}
```

## Other tools on Mcp (2)

- `get_documents` — Read — https://policylayer.com/tools/com-googleapis-developerknowledge-mcp/get-documents.md
- `search_documents` — Read — https://policylayer.com/tools/com-googleapis-developerknowledge-mcp/search-documents.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=com-googleapis-developerknowledge-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/com-googleapis-developerknowledge-mcp