Execute a callable API through APIClaw
AI agents invoke call_api to trigger actions in APIClaw. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This is Execute rather than Write because the tool executes arbitrary external API calls whose effects span create, read, update, delete, or trigger external systems—all determined by runtime arguments. The high severity reflects that an agent could call financial APIs (payments), destructive APIs (deletes), or malicious third-party endpoints.
From the tool's definition Tool name 'call_api' combined with description 'Execute a callable API through APIClaw' explicitly indicates this tool runs external API calls.
Documented attack patterns abuse exactly the kind of access call_api gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and APIClaw, and nothing reaches the server without passing your rules. This is the rule we recommend for call_api:
{
"version": "1",
"default": "deny",
"tools": {
"call_api": {
"limits": [
{
"counter": "call_api_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}call_api stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Execute a callable API through APIClaw. It is categorised as a Execute tool in the APIClaw MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the APIClaw MCP server in PolicyLayer and add a rule for call_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 APIClaw. Nothing to install.
call_api is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the call_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.
Set action: deny in the PolicyLayer policy for call_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.
call_api is provided by the APIClaw MCP server (nordsym/apiclaw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from APIClaw, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 APIClaw tools catalogued and risk-classified — across an index of 43,000+ MCP servers.