Critical Risk →

remove_documentation

Request removal of a documentation file via a GitHub Pull Request for admin review. The document must exist in the knowledge base. If GITHUB_TOKEN is not set, the removal request is staged locally.

Risk signalsAccepts file system path (filePath) · Admin/system-level operation

Part of the Feathersjs server.

remove_documentation can permanently delete data in Feathersjs, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

SECURE FEATHERSJS →

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AI agents may call remove_documentation to permanently remove or destroy resources in Feathersjs. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call remove_documentation in a loop, permanently destroying resources in Feathersjs. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.

Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "remove_documentation"
  ]
}

See the full Feathersjs policy for all 4 tools.

Get this rule live on your own Feathersjs 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 remove_documentation 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 remove_documentation only ever does what you allow.

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Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the remove_documentation tool do? +

Request removal of a documentation file via a GitHub Pull Request for admin review. The document must exist in the knowledge base. If GITHUB_TOKEN is not set, the removal request is staged locally.. It is categorised as a Destructive tool in the Feathersjs MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on remove_documentation? +

Register the Feathersjs MCP server in PolicyLayer and add a rule for remove_documentation: 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 Feathersjs. Nothing to install.

What risk level is remove_documentation? +

remove_documentation is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit remove_documentation? +

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

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

remove_documentation is provided by the Feathersjs MCP server (feathersjs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Feathersjs tool call.

Deterministic rules across all 4 Feathersjs tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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