AI agents call grimoire_quality to retrieve information from Grimoire without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and reports on the state of the knowledge base without modifying, deleting, or executing any data. It is purely diagnostic/observational. Misuse risk is minimal — it only exposes internal health metadata.
From the tool's definition "Run a quality and health check", "Reports integrity issues, FTS sync status, and embedding coverage"
Attacks that exploit this kind of access
Run a quality and health check on the Grimoire knowledge base. Reports integrity issues, FTS sync status, and embedding coverage. It is categorised as a Read tool in the Grimoire MCP Server, which means it retrieves data without modifying state.
Register the Grimoire MCP server in PolicyLayer and add a rule for grimoire_quality: 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 Grimoire. Nothing to install.
grimoire_quality 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 grimoire_quality 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 grimoire_quality. 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.
grimoire_quality is provided by the Grimoire MCP server (tannernicol/grimoire). 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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