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RunPod MCP Server

Official
by runpod

stream-job

Poll a serverless endpoint job to collect all streaming output until the job completes or fails.

Instructions

Retrieve all streaming output from a Serverless job by polling until the job reaches a terminal state. The worker must support streaming output. Polls /stream/{jobId} repeatedly and collects every chunk until status is COMPLETED, FAILED, CANCELLED, or TIMED_OUT.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointIdYesID of the Serverless endpoint the job belongs to
jobIdYesID of the job to stream results from

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.0

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full burden. Clearly explains polling behavior, endpoint pattern, terminal states, and that it collects every chunk. Could mention rate limits or timeouts but sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with main action, no wasted words. Highly concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, so description explains it collects chunks. Could be more explicit about return format (e.g., concatenated output or array), but reasonable for a polling tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers both parameters with 100% coverage. Description adds value by explaining polling endpoint pattern and that jobId is used in the stream endpoint, reinforcing purpose beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it retrieves all streaming output from a Serverless job by polling, specifying the resource (Serverless job) and action (retrieve streaming output via polling). Distinguishes from siblings like get-job-status (which gives current status) and cancel-job.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides context that the worker must support streaming output, indicating when to use. However, lacks explicit when-not-to-use or alternative tool guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.