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invoke_catalog_api

Actually call a catalog API and return its response. Get api_id from browse_catalog first. endpoint is the path to hit. params is a JSON string of query parameters (e.g. '{"q":"test"}').

Risk signalsAccepts URL/endpoint input (endpoint)

Part of the AiPayGen server.

invoke_catalog_api can trigger actions in AiPayGen, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke invoke_catalog_api to trigger processes or run actions in AiPayGen. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

invoke_catalog_api can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "invoke_catalog_api": {
      "limits": [
        {
          "counter": "invoke_catalog_api_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full AiPayGen policy for all 106 tools.

Get this rule live on your own AiPayGen 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 invoke_catalog_api 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 invoke_catalog_api only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the invoke_catalog_api tool do? +

Actually call a catalog API and return its response. Get api_id from browse_catalog first. endpoint is the path to hit. params is a JSON string of query parameters (e.g. '{"q":"test"}').. It is categorised as a Execute tool in the AiPayGen MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on invoke_catalog_api? +

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

What risk level is invoke_catalog_api? +

invoke_catalog_api is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit invoke_catalog_api? +

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

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

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

Enforce policy on every AiPayGen tool call.

Deterministic rules across all 106 AiPayGen 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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