Low Risk

recommend

Decision endpoint: call this before writing integration code when the user needs ONE best API for a concrete task. Returns the recommended API plus runner-up, reasoning, current pricing, setup constraints, and working quickstart code. Use it instead of guessing from training data for tasks like e...

Part of the Clirank server.

recommend 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 recommend to retrieve information from Clirank 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 recommend 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": {
    "recommend": {}
  }
}

See the full Clirank policy for all 9 tools.

Get this rule live on your own Clirank 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 recommend 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 recommend 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 recommend tool do? +

Decision endpoint: call this before writing integration code when the user needs ONE best API for a concrete task. Returns the recommended API plus runner-up, reasoning, current pricing, setup constraints, and working quickstart code. Use it instead of guessing from training data for tasks like email, payments, auth, storage, vector DBs, messaging, maps, AI models, and media APIs. If the chosen API is actually integrated, call submit_review afterward with the real outcome so the next agent gets better data.. It is categorised as a Read tool in the Clirank MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on recommend? +

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

What risk level is recommend? +

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

Can I rate-limit recommend? +

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

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

recommend is provided by the Clirank MCP server (clirank-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 Clirank tool call.

Deterministic rules across all 9 Clirank tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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