AI agents call find_similar to retrieve information from ClawMem without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves similar items from the on-device memory layer, consistent with the server's retrieval-augmented search capability. It has no side effects—it only queries and returns results. It does not create, modify, delete, or execute external operations. The blast radius of misuse is minimal; an agent could retrieve irrelevant context, but cannot corrupt or delete data.
From the tool's definition Tool name is 'find_similar' and description indicates retrieval/search functionality. Sibling tools like 'diary_read', 'intent_search', and 'kg_query' confirm this server performs retrieval and search operations.
Documented attack patterns abuse exactly the kind of access find_similar gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ClawMem, and nothing reaches the server without passing your rules. This is the rule we recommend for find_similar:
{
"version": "1",
"default": "deny",
"tools": {
"find_similar": {}
}
}find_similar is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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USE THIS for. It is categorised as a Read tool in the ClawMem MCP Server, which means it retrieves data without modifying state.
Register the ClawMem MCP server in PolicyLayer and add a rule for find_similar: 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 ClawMem. Nothing to install.
find_similar 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 find_similar 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 find_similar. 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.
find_similar is provided by the ClawMem MCP server (yoloshii/clawmem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 ClawMem tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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30 ClawMem tools catalogued and risk-classified — across an index of 42,500+ MCP servers.