Low Risk

ground_prompt

Optimize a prompt against EXPLICIT caller-provided grounding sources (a spec, a transcript excerpt, an RFC, an internal doc, etc.). Each source is pinned at the highest priority — above project rules, above pinned instructions — and tracked individually in the trace. Use this when you want the re...

Part of the Clarifyprompt server.

ground_prompt 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 ground_prompt to retrieve information from Clarifyprompt 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 ground_prompt 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": {
    "ground_prompt": {}
  }
}

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These attack patterns abuse exactly the kind of access ground_prompt 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 ground_prompt 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 ground_prompt tool do? +

Optimize a prompt against EXPLICIT caller-provided grounding sources (a spec, a transcript excerpt, an RFC, an internal doc, etc.). Each source is pinned at the highest priority — above project rules, above pinned instructions — and tracked individually in the trace. Use this when you want the rewrite to cite specific material rather than letting the curator decide what. It is categorised as a Read tool in the Clarifyprompt MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ground_prompt? +

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

What risk level is ground_prompt? +

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

Can I rate-limit ground_prompt? +

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

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

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

Enforce policy on every Clarifyprompt tool call.

Deterministic rules across all 28 Clarifyprompt tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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