get_evaluation_pipeline

Get an evaluator pipeline by ID. Accepts both the family workflow_id and the version PK.

Server Respan MCP Server respanai/respan-mcp
Category Read
Risk class Low
Parameters 00 required

What get_evaluation_pipeline does on Respan MCP Server

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

Why get_evaluation_pipeline needs a policy

This tool retrieves evaluation pipeline configuration data based on identifiers (workflow_id or version PK). It performs a query operation with no side effects, no data modification, and no execution of external operations. The retrieval of monitoring and management metadata is a standard Read operation with minimal blast radius if accessed by an AI agent.

From the tool's definition Tool description states it 'Get[s] an evaluator pipeline by ID' with no mention of modification, deletion, or execution of operations. The verb 'Get' indicates pure data retrieval.

Questions about get_evaluation_pipeline

What does the get_evaluation_pipeline tool do? +

Get an evaluator pipeline by ID. Accepts both the family workflow_id and the version PK. It is categorised as a Read tool in the Respan MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_evaluation_pipeline? +

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

What risk level is get_evaluation_pipeline? +

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

Can I rate-limit get_evaluation_pipeline? +

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

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

get_evaluation_pipeline is provided by the Respan MCP Server MCP server (respanai/respan-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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