search_memory

search_memory

Server MCPEmulate labguy94/mcpemulate
Category Read
Risk class Low
Parameters 00 required

What search_memory does on MCPEmulate

AI agents call search_memory to retrieve information from MCPEmulate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why search_memory needs a policy

Despite the empty description reducing confidence slightly, the tool name 'search_memory' strongly suggests retrieving or querying memory contents within an emulation session. This is a read-only operation that accesses data without modifying or deleting it. Even in the context of emulation and security analysis, searching memory is a passive analysis activity.

From the tool's definition Tool name 'search_memory' indicates a query/search operation. The server context shows this is part of CPU emulation and memory analysis tools. The sibling tools include 'diff_memory' and 'diff_context' which are also non-destructive analysis operations.

Questions about search_memory

What does the search_memory tool do? +

search_memory. It is categorised as a Read tool in the MCPEmulate MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_memory? +

Register the MCPEmulate MCP server in PolicyLayer and add a rule for search_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 MCPEmulate. Nothing to install.

What risk level is search_memory? +

search_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_memory? +

Yes. Add a rate_limit block to the search_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.

How do I block search_memory completely? +

Set action: deny in the PolicyLayer policy for search_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.

What MCP server provides search_memory? +

search_memory is provided by the MCPEmulate MCP server (labguy94/mcpemulate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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