AI agents call detailed_index_analysis to retrieve information from Work Memory MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs diagnostic analysis on memory indexing issues, which is a read-only inspection operation. It retrieves and analyzes information about indexing gaps to identify root causes, but does not modify, create, or delete data. The low severity reflects minimal blast radius if misused - at worst, it could reveal information about the system's internal state, but cannot directly cause harm.
From the tool's definition Tool description indicates 'detailed analysis' of 'indexing gap memory' to 'find root causes' - this is an analytical/diagnostic operation that examines existing data without modifying it.
Documented attack patterns abuse exactly the kind of access detailed_index_analysis gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Work Memory MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for detailed_index_analysis:
{
"version": "1",
"default": "deny",
"tools": {
"detailed_index_analysis": {}
}
} detailed_index_analysis is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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인덱싱 누락 메모리를 상세 분석하여 근본 원인을 찾습니다. It is categorised as a Read tool in the Work Memory MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Work Memory MCP Server MCP server in PolicyLayer and add a rule for detailed_index_analysis: 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 Work Memory MCP Server. Nothing to install.
detailed_index_analysis 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 detailed_index_analysis 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 detailed_index_analysis. 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.
detailed_index_analysis is provided by the Work Memory MCP Server MCP server (moontmsai/work-memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Work Memory MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
24 Work Memory MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.