Explain search results with detailed scoring breakdown.
AI agents call memory_explain to retrieve information from Codemem without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and explains existing search results using a scoring breakdown. This is purely informational with no side effects, no code execution, no data modification, and no deletion. It fits the Read category definition of retrieving or querying data with no side effects.
From the tool's definition Tool name is 'memory_explain' and description states it 'Explain search results with detailed scoring breakdown' — this is a retrieval and analysis operation that returns information about existing search results without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access memory_explain gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Codemem, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_explain:
{
"version": "1",
"default": "deny",
"tools": {
"memory_explain": {}
}
} memory_explain is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Explain search results with detailed scoring breakdown. It is categorised as a Read tool in the Codemem MCP Server, which means it retrieves data without modifying state.
Register the Codemem MCP server in PolicyLayer and add a rule for memory_explain: 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 Codemem. Nothing to install.
memory_explain 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_explain 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_explain. 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_explain is provided by the Codemem MCP server (kunickiaj/codemem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Codemem, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 Codemem tools catalogued and risk-classified — across an index of 43,000+ MCP servers.