Search the Boardroom LEDGER (persistent decision memory) and Wisdom Codex for relevant precedents, past decisions, and distilled insights. Returns keyword-matched results with timestamps and excerpts. The LEDGER grows each time you use report_outcome.
AI agents call query_intelligence to retrieve information from Boardroom without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
query_intelligence is a pure query/search operation over persistent memory structures. It retrieves historical decision data and precedents without modifying, deleting, or executing external operations. The fact that the LEDGER 'grows' through report_outcome is a separate write operation; query_intelligence only reads from it.
From the tool's definition Tool description states it 'Search[es]' the LEDGER and returns 'keyword-matched results with timestamps and excerpts.' No modifications, deletions, or external operations are described. The verb 'Search' and 'Returns' indicate read-only retrieval.
Attacks that exploit this kind of access
Search the Boardroom LEDGER (persistent decision memory) and Wisdom Codex for relevant precedents, past decisions, and distilled insights. Returns keyword-matched results with timestamps and excerpts. The LEDGER grows each time you use report_outcome. It is categorised as a Read tool in the Boardroom MCP Server, which means it retrieves data without modifying state.
Register the Boardroom MCP server in PolicyLayer and add a rule for query_intelligence: 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 Boardroom. Nothing to install.
query_intelligence 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_intelligence 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_intelligence. 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_intelligence is provided by the Boardroom MCP server (randysalars/boardroom-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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