execute_saved_search
Execute a previously saved search by name
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What execute_saved_search does on Enhanced Knowledge Graph Memory Server
AI agents call execute_saved_search to retrieve information from Enhanced Knowledge Graph Memory Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why execute_saved_search is rated Low
Despite the word 'execute', this tool runs a previously saved search query and retrieves results — it is fundamentally a read/query operation with no side effects. The blast radius is low since it only fetches data from the knowledge graph.
From the tool's definition Execute a previously saved search by name
Attacks that exploit this kind of access
The rule that runs execute_saved_search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For execute_saved_search, this is the rule to start with:
execute_saved_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every execute_saved_search call is checked against it from then on.
Questions about execute_saved_search
Execute a previously saved search by name. It is categorised as a Read tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it retrieves data without modifying state.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for execute_saved_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 Enhanced Knowledge Graph Memory Server. Nothing to install.
execute_saved_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 execute_saved_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 execute_saved_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.
execute_saved_search is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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