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Get Job

job_get
Read-onlyIdempotent

Get job status and result. Returns status: running | completed | failed and result when terminal. Keep polling until you get a terminal status.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "job_id": "<job_id>"
    },
    "name": "job_get"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYesThe job ID returned when a long-running tool was called.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds genuine behavioral context beyond that: the exact status values (running | completed | failed), that result is only present in a terminal state, and the polling loop expectation.

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 short sentences, front-loaded with the purpose and immediately followed by return semantics and the polling instruction. No filler; every clause earns its place.

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?

With no output schema, the description shoulders the return-value burden and does so by naming the status enum and when result appears. It omits the shape of 'result' itself, which would have made it fully self-sufficient, but for a polling tool it is largely complete.

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% and the single job_id parameter is fully documented in the schema ('returned when a long-running tool was called'). The description adds no syntax or format detail beyond what the schema already provides, so the baseline 3 applies.

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?

States a specific verb (Get) and resource (job), and further specifies what it returns: status and result. It is clearly distinguishable from sibling job_list (enumerate jobs) and job_cancel (cancel a job) by describing retrieval of a single job's status/result.

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?

Gives explicit operational guidance: 'Keep polling until you get a terminal status,' which tells the agent when and how to call it repeatedly. It stops short of naming alternatives (e.g., job_list or job_cancel) or when-not-to-use conditions, so it lands just below the top.

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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