functions_that_raise

Return functions whose parser-detected exception list includes the named exception.

Server Trailmark MCP Server parsiya/trailmark-mcp-server
Category Read
Risk class Low
Parameters 00 required

What functions_that_raise does on Trailmark MCP Server

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

Why functions_that_raise needs a policy

This tool queries static code analysis results to retrieve functions that raise specified exceptions. It performs a search/filter operation over existing parsed data without modifying, executing, or deleting anything. No external operations are triggered, no code is executed, and no data is altered. This is a classic Read operation—retrieving information from an analyzed codebase.

From the tool's definition Tool 'functions_that_raise' returns/retrieves a list of functions matching parser-detected exception criteria. The verb 'return' and operation type (querying code analysis data) indicate data retrieval with no side effects.

Questions about functions_that_raise

What does the functions_that_raise tool do? +

Return functions whose parser-detected exception list includes the named exception. It is categorised as a Read tool in the Trailmark MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on functions_that_raise? +

Register the Trailmark MCP Server MCP server in PolicyLayer and add a rule for functions_that_raise: 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 Trailmark MCP Server. Nothing to install.

What risk level is functions_that_raise? +

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

Can I rate-limit functions_that_raise? +

Yes. Add a rate_limit block to the functions_that_raise 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 functions_that_raise completely? +

Set action: deny in the PolicyLayer policy for functions_that_raise. 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 functions_that_raise? +

functions_that_raise is provided by the Trailmark MCP Server MCP server (parsiya/trailmark-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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