Execute a metered API call through the AgentClear proxy. Costs sub-cent per call, charged to your AgentClear wallet.
Risk signalsAccepts raw HTML/template content (payload)
Part of the AgentClear — API Marketplace for AI Agents server.
Free to start. No card required.
AI agents invoke call_service to trigger processes or run actions in AgentClear — API Marketplace for AI Agents. 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.
call_service 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.
{
"version": "1",
"default": "deny",
"tools": {
"call_service": {
"limits": [
{
"counter": "call_service_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full AgentClear — API Marketplace for AI Agents policy for all 3 tools.
These attack patterns abuse exactly the kind of access call_service gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Execute a metered API call through the AgentClear proxy. Costs sub-cent per call, charged to your AgentClear wallet.. It is categorised as a Execute tool in the AgentClear — API Marketplace for AI Agents MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AgentClear — API Marketplace for AI Agents MCP server in PolicyLayer and add a rule for call_service: 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 AgentClear — API Marketplace for AI Agents. Nothing to install.
call_service 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_service 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_service. 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_service is provided by the AgentClear — API Marketplace for AI Agents MCP server (agentclear-ai/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 AgentClear — API Marketplace for AI Agents 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.