调用${swaggerDoc.info.title} API的通用工具。支持所有HTTP方法和路径。
AI agents invoke api_call to trigger actions in Swagger MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes arbitrary REST API calls across all HTTP methods (GET, POST, PUT, DELETE, PATCH, etc.) and all paths defined in the Swagger spec. Because it supports all HTTP methods including destructive ones (DELETE) and state-changing ones (POST/PUT/PATCH), it spans multiple categories.
From the tool's definition '调用...API的通用工具。支持所有HTTP方法和路径' — calls arbitrary API endpoints supporting all HTTP methods and paths
Attacks that exploit this kind of access
调用${swaggerDoc.info.title} API的通用工具。支持所有HTTP方法和路径。. It is categorised as a Execute tool in the Swagger MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Swagger MCP Server MCP server in PolicyLayer and add a rule for api_call: 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 Swagger MCP Server. Nothing to install.
api_call 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 api_call 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 api_call. 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.
api_call is provided by the Swagger MCP Server MCP server (zidong0822/swagger-mcp). 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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