Perform contextual memory retrieval with intelligent ranking
AI agents call memory_contextual_search to retrieve information from Documcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs information retrieval and ranking of contextual memory—a read-only operation that queries existing data without creating, modifying, deleting, or executing code. It has minimal blast radius as misuse would only surface incorrect or irrelevant search results, not cause structural or financial damage.
From the tool's definition Tool name 'memory_contextual_search' and description 'Perform contextual memory retrieval with intelligent ranking' indicate retrieval/query operations with no modification or execution of external commands.
Documented attack patterns abuse exactly the kind of access memory_contextual_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Documcp, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_contextual_search:
{
"version": "1",
"default": "deny",
"tools": {
"memory_contextual_search": {}
}
}memory_contextual_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Perform contextual memory retrieval with intelligent ranking. It is categorised as a Read tool in the Documcp MCP Server, which means it retrieves data without modifying state.
Register the Docu MCP server in PolicyLayer and add a rule for memory_contextual_search: 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 Documcp. Nothing to install.
memory_contextual_search 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_contextual_search 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_contextual_search. 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_contextual_search is provided by the Docu MCP server (tosin2013/documcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Documcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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52 Documcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.