bisect · Python MCP: Risk & Policy

WHAT IT DOES

What bisect does on Python

AI agents invoke bisect to trigger actions in Python. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why bisect needs a policy

This tool runs git bisect operations, executing git commands against a repository to navigate commit history. It performs active operations (checkout of commits, marking good/bad) rather than merely reading data. Misuse could corrupt bisect state or cause unintended branch/commit checkouts affecting the working tree.

From the tool's definition Binary search for the commit that introduced a bug... action taken, current commit, remaining steps estimate

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

bisect Rate-limited

bisect stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "bisect": {
      "limits": [
        {
          "counter": "bisect_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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, so you can run agents against it safely.

FAQ

Questions about bisect

What does the bisect tool do? +

Binary search for the commit that introduced a bug. Returns structured data with action taken, current commit, remaining steps estimate, and result. It is categorised as a Execute tool in the Python MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on bisect? +

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

What risk level is bisect? +

bisect is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit bisect? +

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

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

bisect is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

bisect is one line of Python's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →