doc
Generates Rust documentation and returns structured output with warning count.
This record as markdown: /tools/io-github-dave-london-github/doc.md
What doc does on Github
AI agents invoke doc to trigger actions in Github. 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 doc is rated High
Generating Rust documentation involves executing a build tool (like cargo doc) that compiles code and runs external processes. This is an Execute-category action because it triggers an external operation whose effects depend on the codebase state.
From the tool's definition "Generates Rust documentation" — this runs a documentation build process (e.g., cargo doc) which executes code/toolchain commands on the system
Attacks that exploit this kind of access
The rule that runs doc safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Github, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For doc, this is the rule to start with:
doc 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Github, apply this rule, and every doc call is checked against it from then on.
Questions about doc
Generates Rust documentation and returns structured output with warning count. It is categorised as a Execute tool in the Github MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Github MCP server in PolicyLayer and add a rule for doc: 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 Github. Nothing to install.
doc is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the doc 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 doc. 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.
doc is provided by the Github MCP server (@paretools/github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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