semantic_search_code

A read tool on the CogniRepo MCP server.

SERVERCogniRepo SOURCEpypi:cognirepo

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade A, identity unverified Pull the record →

This record as markdown: /tools/ashlesh-t-cognirepo/semantic-search-code.md

WHAT IT DOES

What semantic_search_code does on CogniRepo

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

RISK

Why semantic_search_code is rated Low

The tool performs semantic searching over code, which retrieves information without modifying data or triggering external side effects. It integrates with the knowledge graph for retrieval only. No execution, writing, deletion, or financial activity is implied. Confidence is moderate due to lack of explicit description, but the name and peer tools strongly suggest read-only behavior.

From the tool's definition Tool name 'semantic_search_code' combined with context of a persistent memory/knowledge graph server indicates a search/query operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs semantic_search_code safely

PolicyLayer is an MCP gateway: it sits between your AI agents and CogniRepo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For semantic_search_code, this is the rule to start with:

semantic_search_code Allowed

semantic_search_code is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "semantic_search_code": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CogniRepo, apply this rule, and every semantic_search_code call is checked against it from then on.

FAQ

Questions about semantic_search_code

What does the semantic_search_code tool do? +

semantic_search_code is a read tool on the CogniRepo MCP server. It is categorised as a Read tool in the CogniRepo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on semantic_search_code? +

Register the CogniRepo MCP server in PolicyLayer and add a rule for semantic_search_code: 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 CogniRepo. Nothing to install.

What risk level is semantic_search_code? +

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

Can I rate-limit semantic_search_code? +

Yes. Add a rate_limit block to the semantic_search_code 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 semantic_search_code completely? +

Set action: deny in the PolicyLayer policy for semantic_search_code. 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 semantic_search_code? +

semantic_search_code is provided by the CogniRepo MCP server (pypi:cognirepo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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