operationIdを指定してAPIを呼び出す
AI agents invoke call_api to trigger actions in ACOMO MCP Server. 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 tool executes arbitrary API operations against ACOMO backend services. The actual effect depends on which operationId is specified — it could perform reads, writes, deletions, or financial transactions. Since the tool can trigger any operation in the API catalog, the worst-case severity is high.
From the tool's definition operationIdを指定してAPIを呼び出す (Call API by specifying operationId)
Attacks that exploit this kind of access
operationIdを指定してAPIを呼び出す. It is categorised as a Execute tool in the ACOMO MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ACOMO MCP Server 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 ACOMO MCP Server. 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 ACOMO MCP Server MCP server (progress-all/acomo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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