validate_api

Validate API usage against library signatures

Server Dag vamfi/dag-mcp-server
Category Read
Risk class Low
Parameters 00 required

What validate_api does on Dag

AI agents call validate_api to retrieve information from Dag without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why validate_api needs a policy

This tool performs validation by comparing provided API usage against stored library signatures. Validation is a read-only operation that checks conformance without side effects—it retrieves and compares documentation/signature data but does not execute code, modify data, delete anything, or commit financial transactions.

From the tool's definition Tool name 'validate_api' and description 'Validate API usage against library signatures' indicate checking/verification of API calls against known library definitions. No modification, deletion, execution, or financial operations are implied.

Questions about validate_api

What does the validate_api tool do? +

Validate API usage against library signatures. It is categorised as a Read tool in the Dag MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_api? +

Register the Dag MCP server in PolicyLayer and add a rule for validate_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 Dag. Nothing to install.

What risk level is validate_api? +

validate_api is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit validate_api? +

Yes. Add a rate_limit block to the validate_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.

How do I block validate_api completely? +

Set action: deny in the PolicyLayer policy for validate_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.

What MCP server provides validate_api? +

validate_api is provided by the Dag MCP server (vamfi/dag-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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