Search API interfaces in the internal Swagger documentation. Searches by keyword across interface name, description, path, and module name. Optionally filter by HTTP method and service. Parameters: - keyword (required): Search keyword, e.g.
AI agents call swagger_search_api to retrieve information from Internal Swagger without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries API documentation without side effects. The search operation is a pure read action that returns information about available APIs. No data is created, modified, deleted, or executed.
From the tool's definition Tool description states it "Search[es] API interfaces in the internal Swagger documentation" and "Searches by keyword across interface name, description, path, and module name." No modification, deletion, or execution of external systems occurs—only retrieval…
Attacks that exploit this kind of access
Search API interfaces in the internal Swagger documentation. Searches by keyword across interface name, description, path, and module name. Optionally filter by HTTP method and service. Parameters: - keyword (required): Search keyword, e.g. It is categorised as a Read tool in the Internal Swagger MCP Server, which means it retrieves data without modifying state.
Register the Internal Swagger MCP server in PolicyLayer and add a rule for swagger_search_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 Internal Swagger. Nothing to install.
swagger_search_api is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the swagger_search_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 swagger_search_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.
swagger_search_api is provided by the Internal Swagger MCP server (zhangwanli09/internal-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.
Teams ship this data inside their own products. See what a licence covers →