Optimize README content by restructuring, condensing, and extracting detailed sections to separate documentation
AI agents use optimize_readme to create or update resources in Documcp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Documcp environment.
This tool modifies existing README content by restructuring and condensing it, and creates/extracts sections into separate documentation files. This is a Write operation as it modifies existing data and creates new files, but is generally reversible through version control. Severity is medium because misuse could alter important project documentation.
From the tool's definition Optimize README content by restructuring, condensing, and extracting detailed sections to separate documentation
Documented attack patterns abuse exactly the kind of access optimize_readme gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Documcp, and nothing reaches the server without passing your rules. This is the rule we recommend for optimize_readme:
{
"version": "1",
"default": "deny",
"tools": {
"optimize_readme": {
"limits": [
{
"counter": "optimize_readme_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}optimize_readme 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.
Free to start. No card required.
Optimize README content by restructuring, condensing, and extracting detailed sections to separate documentation. It is categorised as a Write tool in the Documcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Docu MCP server in PolicyLayer and add a rule for optimize_readme: 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 Documcp. Nothing to install.
optimize_readme 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 optimize_readme 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 optimize_readme. 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.
optimize_readme is provided by the Docu MCP server (tosin2013/documcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Documcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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