spec_list
AI agents call spec_list to retrieve information from Openapi Tools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a read-only operation (listing specifications) with no data modification, deletion, or execution capabilities. The blast radius is minimal—it only exposes metadata about available OpenAPI specs in a local environment.
From the tool's definition Tool name 'spec_list' combined with server description stating it 'lists' OpenAPI specification files. The server's purpose is 'inspecting' and 'retrieving spec details', and the tool description being empty is consistent with a simple list operation.
Attacks that exploit this kind of access
spec_list. It is categorised as a Read tool in the Openapi Tools MCP Server, which means it retrieves data without modifying state.
Register the Openapi Tools MCP server in PolicyLayer and add a rule for spec_list: 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 Openapi Tools. Nothing to install.
spec_list 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 spec_list 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 spec_list. 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.
spec_list is provided by the Openapi Tools MCP server (kardaj/openapi-tools-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 →