Return facts for an exact key, ordered by confidence desc.
AI agents call memory_recall_facts to retrieve information from Threadwork without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads/queries data from the persistent memory store (SQLite). It retrieves facts by key and orders them by confidence. No data is created, modified, or deleted. Blast radius is low since misuse can only expose stored facts.
From the tool's definition 'Return facts for an exact key, ordered by confidence desc' — purely retrieves stored facts with no side effects
Attacks that exploit this kind of access
Return facts for an exact key, ordered by confidence desc. It is categorised as a Read tool in the Threadwork MCP Server, which means it retrieves data without modifying state.
Register the Threadwork MCP server in PolicyLayer and add a rule for memory_recall_facts: 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 Threadwork. Nothing to install.
memory_recall_facts 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 memory_recall_facts 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 memory_recall_facts. 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.
memory_recall_facts is provided by the Threadwork MCP server (tianqbu/threadwork). 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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