Low Risk

analyze_prompt

Analyze a prompt for quality: clarity score (0-100), specificity score, potential issues, and improvement suggestions. FREE tool.

Part of the Prompt Enhancer server.

analyze_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 analyze_prompt to retrieve information from Prompt Enhancer 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 analyze_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": {
    "analyze_prompt": {}
  }
}

See the full Prompt Enhancer policy for all 6 tools.

Get this rule live on your own Prompt Enhancer 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 analyze_prompt 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 analyze_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 analyze_prompt tool do? +

Analyze a prompt for quality: clarity score (0-100), specificity score, potential issues, and improvement suggestions. FREE tool.. It is categorised as a Read tool in the Prompt Enhancer MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_prompt? +

Register the Prompt Enhancer MCP server in PolicyLayer and add a rule for analyze_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 Prompt Enhancer. Nothing to install.

What risk level is analyze_prompt? +

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

Can I rate-limit analyze_prompt? +

Yes. Add a rate_limit block to the analyze_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 analyze_prompt completely? +

Set action: deny in the PolicyLayer policy for analyze_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 analyze_prompt? +

analyze_prompt is provided by the Prompt Enhancer MCP server (openclaw-ai/prompt-enhancer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Prompt Enhancer tool call.

Deterministic rules across all 6 Prompt Enhancer 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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