Query documents with filters
AI agents call query_documents to retrieve information from Firestore MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and returns documents from Firestore based on filter conditions. It performs a read-only operation with no side effects. Severity is medium because misconfigured queries on large collections could expose sensitive data at scale, but the tool itself does not modify or delete anything.
From the tool's definition 'Query documents with filters' — retrieves documents matching specified filter criteria; no mention of modification or deletion.
Attacks that exploit this kind of access
Query documents with filters. It is categorised as a Read tool in the Firestore MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Firestore MCP Server MCP server in PolicyLayer and add a rule for query_documents: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Firestore MCP Server. Nothing to install.
query_documents is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the query_documents rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for query_documents. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
query_documents is provided by the Firestore MCP Server MCP server (yudai-uk/firestore-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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