Extract API schemas from source code. Supports: MCP tools (Zod), OpenAPI/Swagger specs, GraphQL SDL, tRPC routers, REST endpoints (Express/Fastify), gRPC/Protobuf services, Python (FastAPI/Flask decorators), Go (Gin/Chi handlers), and SQL DDL (CREATE TABLE, CREATE TYPE). Auto-detects format from ...
AI agents call extract_schemas to retrieve information from Trace MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and queries schema information from source code through static analysis only. It has no side effects on the analyzed code or data structures. The extraction process is non-destructive and does not execute code or modify files. This is a classic Read operation with low blast radius since misuse would only result in incorrect schema detection rather than any system damage.
From the tool's definition Tool performs static analysis to 'Extract API schemas from source code' with no mention of modification, deletion, or execution capabilities. It reads and analyzes existing files to detect and extract schema definitions.
Attacks that exploit this kind of access
Extract API schemas from source code. Supports: MCP tools (Zod), OpenAPI/Swagger specs, GraphQL SDL, tRPC routers, REST endpoints (Express/Fastify), gRPC/Protobuf services, Python (FastAPI/Flask decorators), Go (Gin/Chi handlers), and SQL DDL (CREATE TABLE, CREATE TYPE). Auto-detects format from file contents. It is categorised as a Read tool in the Trace MCP MCP Server, which means it retrieves data without modifying state.
Register the Trace MCP server in PolicyLayer and add a rule for extract_schemas: 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 Trace MCP. Nothing to install.
extract_schemas 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 extract_schemas 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 extract_schemas. 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.
extract_schemas is provided by the Trace MCP server (mnehmos/mnehmos.trace.mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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