select_codebase · Python Codebase Analysis RAG System MCP

WHAT IT DOES

What select_codebase does on Python Codebase Analysis RAG System

AI agents use select_codebase to create or update resources in Python Codebase Analysis RAG System — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Python Codebase Analysis RAG System environment.

WHY IT NEEDS A POLICY

Why select_codebase needs a policy

This tool changes the server's operational state (active codebase and watcher status) but does not create, retrieve, execute arbitrary code, delete data, or perform financial operations. It is a reversible configuration/state-management action typical of Write category. Severity is low because misuse would only affect which codebase is being analyzed, not cause data loss or arbitrary code execution.

From the tool's definition The tool 'Sets the active codebase context for subsequent commands. Stops the watcher for the previously active codebase, if any.' - it modifies the internal state of the server by changing which codebase is active and controlling watcher processes.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

select_codebase Rate-limited

select_codebase stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "select_codebase": {
      "limits": [
        {
          "counter": "select_codebase_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Python Codebase Analysis RAG System, so you can run agents against it safely.

FAQ

Questions about select_codebase

What does the select_codebase tool do? +

Sets the active codebase context for subsequent commands. Stops the watcher for the previously active codebase, if any. It is categorised as a Write tool in the Python Codebase Analysis RAG System MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on select_codebase? +

Register the Python Codebase Analysis RAG System MCP server in PolicyLayer and add a rule for select_codebase: 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 Python Codebase Analysis RAG System. Nothing to install.

What risk level is select_codebase? +

select_codebase is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit select_codebase? +

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

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

select_codebase is provided by the Python Codebase Analysis RAG System MCP server (shervinemp/codebasemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.