Lists all models used by a specific endpoint from the Swagger definition. Priority: CLI --swagger-url > swaggerFilePath parameter.
AI agents call listEndpointModels to retrieve information from Swagger MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns metadata about models associated with endpoints in a Swagger specification. It performs no modifications, deletions, code execution, or financial operations. The action is purely informational—reading and listing existing data from the Swagger definition. The low severity reflects that misuse would only expose technical schema information, not cause operational harm.
From the tool's definition Tool name 'listEndpointModels' and description 'Lists all models used by a specific endpoint' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access listEndpointModels gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Swagger MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for listEndpointModels:
{
"version": "1",
"default": "deny",
"tools": {
"listEndpointModels": {}
}
} listEndpointModels is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Lists all models used by a specific endpoint from the Swagger definition. Priority: CLI --swagger-url > swaggerFilePath parameter. It is categorised as a Read tool in the Swagger MCP MCP Server, which means it retrieves data without modifying state.
Register the Swagger MCP server in PolicyLayer and add a rule for listEndpointModels: 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. Nothing to install.
listEndpointModels 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 listEndpointModels 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 listEndpointModels. 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.
listEndpointModels is provided by the Swagger MCP server (vizioz/swagger-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 Swagger MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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6 Swagger MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.