Clear generated working memory entries from the local managed store.
AI agents call clear_working_memory to permanently remove resources in Reporecall — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly removes/clears working memory entries from the local store. The word 'clear' implies bulk deletion of stored data. While these are generated/cached entries rather than source code, clearing them destroys stored intelligence context that may not be easily recoverable, making it Destructive rather than Write.
From the tool's definition "Clear generated working memory entries from the local managed store"
Documented attack patterns abuse exactly the kind of access clear_working_memory gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Reporecall, and nothing reaches the server without passing your rules. This is the rule we recommend for clear_working_memory:
{
"version": "1",
"default": "deny",
"hide": [
"clear_working_memory"
]
} clear_working_memory disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Clear generated working memory entries from the local managed store. It is categorised as a Destructive tool in the Reporecall MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Reporecall MCP server in PolicyLayer and add a rule for clear_working_memory: 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 Reporecall. Nothing to install.
clear_working_memory is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the clear_working_memory 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 clear_working_memory. 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.
clear_working_memory is provided by the Reporecall MCP server (proofofwork-agency/reporecall). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 Reporecall tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
30 Reporecall tools catalogued and risk-classified — across an index of 42,500+ MCP servers.