AI agents use code_docstring to create or update resources in Onion — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Onion environment.
This tool generates documentation comments (docstrings) for functions, classes, or modules. It creates/writes new content (docstrings), making it a Write operation. The blast radius is low as it only produces documentation text and does not execute code or modify existing logic.
From the tool's definition 为函数、类或模块生成文档注释(docstring)
Attacks that exploit this kind of access
为函数、类或模块生成文档注释(docstring)。. It is categorised as a Write tool in the Onion MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Onion MCP server in PolicyLayer and add a rule for code_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 Onion. Nothing to install.
code_docstring is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the code_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.
Set action: deny in the PolicyLayer policy for code_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.
code_docstring is provided by the Onion MCP server (onion-ai/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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