query_natural_language
Decompose a natural language query into a structured search plan and return matching entities
This record as markdown: /tools/danielsimonjr-memory-mcp/query-natural-language.md
What query_natural_language does on Enhanced Knowledge Graph Memory Server
AI agents call query_natural_language 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 query_natural_language is rated Low
This tool performs data retrieval and querying operations only. It decomposes natural language input into search parameters and returns matching entities from the knowledge graph—a read-only operation with no side effects, data modification, code execution, or destructive capabilities. The low severity reflects that misuse would only expose existing data without enabling unauthorized changes or actions.
From the tool's definition Tool name 'query_natural_language' and description 'Decompose a natural language query into a structured search plan and return matching entities' indicate retrieval and search operations with no modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
The rule that runs query_natural_language 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 query_natural_language, this is the rule to start with:
query_natural_language 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 query_natural_language call is checked against it from then on.
Questions about query_natural_language
Decompose a natural language query into a structured search plan and return matching entities. 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 query_natural_language: 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.
query_natural_language 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 query_natural_language 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 query_natural_language. 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.
query_natural_language 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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