Medium Risk

generate_docstring

Generate JSDoc, Python docstring, Go godoc, or Rust doc comments for functions in the provided code.

Risk signalsAccepts freeform code/query input (code)

Part of the Code Explainer server.

generate_docstring can modify Code Explainer data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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Free to start. No card required.

AI agents use generate_docstring to create or modify resources in Code Explainer. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call generate_docstring repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Code Explainer.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_docstring": {
      "limits": [
        {
          "counter": "generate_docstring_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Code Explainer policy for all 6 tools.

Get this rule live on your own Code Explainer server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access generate_docstring gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so generate_docstring only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the generate_docstring tool do? +

Generate JSDoc, Python docstring, Go godoc, or Rust doc comments for functions in the provided code.. It is categorised as a Write tool in the Code Explainer MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_docstring? +

Register the Code Explainer MCP server in PolicyLayer and add a rule for generate_docstring: 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 Code Explainer. Nothing to install.

What risk level is generate_docstring? +

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

Can I rate-limit generate_docstring? +

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

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

generate_docstring is provided by the Code Explainer MCP server (https://api.lazy-mac.com/code-explainer/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Code Explainer tool call.

Deterministic rules across all 6 Code Explainer tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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