Update a specific documentation file using diff-based changes
AI agents use update_doc to create or update resources in Mcp Rtfm — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Rtfm environment.
This tool creates or modifies data reversibly (Write category). It updates documentation files but does not delete them permanently. The diff-based approach suggests surgical edits rather than full overwrites.
From the tool's definition 'Update a specific documentation file using diff-based changes' — the tool modifies documentation content. The use of 'diff-based changes' indicates reversible, targeted modifications rather than destructive replacement.
Documented attack patterns abuse exactly the kind of access update_doc gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Rtfm, and nothing reaches the server without passing your rules. This is the rule we recommend for update_doc:
{
"version": "1",
"default": "deny",
"tools": {
"update_doc": {
"limits": [
{
"counter": "update_doc_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_doc 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.
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Update a specific documentation file using diff-based changes. It is categorised as a Write tool in the Mcp Rtfm MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Rtfm MCP server in PolicyLayer and add a rule for update_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 Mcp Rtfm. Nothing to install.
update_doc 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 update_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 update_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.
update_doc is provided by the Mcp Rtfm MCP server (ryanjoachim/mcp-rtfm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Mcp Rtfm tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
11 Mcp Rtfm tools catalogued and risk-classified — across an index of 42,500+ MCP servers.