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RunPod MCP Server

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by runpod

get-job-status

Check the status of an asynchronous Serverless job. Returns current status and output upon completion. Statuses: IN_QUEUE, IN_PROGRESS, COMPLETED, FAILED, CANCELLED, TIMED_OUT.

Instructions

Check the status of an asynchronous Serverless job. Returns the current status and output when complete. Job statuses: IN_QUEUE, IN_PROGRESS, COMPLETED, FAILED, CANCELLED, TIMED_OUT.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointIdYesID of the Serverless endpoint the job belongs to
jobIdYesID of the job to check
Behavior3/5

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

With no annotations, the description carries the full burden. It states it returns status and output when complete, and lists statuses, but does not clarify if it blocks, requires authentication, or has rate limits. The behavior is partially transparent but leaves ambiguity about the return timing.

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

Conciseness4/5

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

The description is concise—two sentences—and front-loaded with the main purpose. The list of statuses is helpful but could be formatted more clearly. Overall, it is efficient but not perfectly structured.

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?

For a simple read-only tool with no output schema, the description covers the essential purpose and expected return values. However, it does not specify the format of the output or whether the tool is meant for polling; still, it is sufficiently complete for its simplicity.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema already documents both parameters. The tool description does not add additional semantics beyond the schema, such as format or constraints. Baseline 3 is appropriate since schema does the heavy lifting.

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?

The description clearly states the tool's function: 'Check the status of an asynchronous Serverless job' and lists possible statuses. It distinguishes from sibling tools like cancel-job or retry-job by focusing on status checking.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives is provided. While it is implied for status checking, there is no mention of prerequisites or when not to use it, which would help an AI agent decide between get-job-status and stream-job or retry-job.

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

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