Low Risk

pipeworx_feedback

Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — ...

Part of the Un Sdg server.

pipeworx_feedback is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call pipeworx_feedback to retrieve information from Un Sdg without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though pipeworx_feedback only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pipeworx_feedback": {}
  }
}

See the full Un Sdg policy for all 25 tools.

Get this rule live on your own Un Sdg 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 pipeworx_feedback gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so pipeworx_feedback only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the pipeworx_feedback tool do? +

Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.. It is categorised as a Read tool in the Un Sdg MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pipeworx_feedback? +

Register the Un Sdg MCP server in PolicyLayer and add a rule for pipeworx_feedback: 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 Un Sdg. Nothing to install.

What risk level is pipeworx_feedback? +

pipeworx_feedback is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pipeworx_feedback? +

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

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

pipeworx_feedback is provided by the Un Sdg MCP server (https://gateway.pipeworx.io/un-sdg/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Un Sdg tool call.

Deterministic rules across all 25 Un Sdg 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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