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gpu_reconcile_jobs

Poll status of active or specified GPU jobs to reconcile their state without submitting or resubmitting work. Use it to track job progress and resolve unknown statuses.

Instructions

Poll job status. Mock data are TEST FIXTURES, not a live account.

Omit job_ids to poll every active job, including UNKNOWN. Reconcile never submits and never resubmits an ambiguous job.

Input Schema

NameRequiredDescriptionDefault
job_idsNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description does real work: it warns that data are test fixtures, and explicitly guarantees the tool never submits and never resubmits an ambiguous job, which removes a serious misfire risk. It doesn't say whether reconciliation writes/persists updated statuses or how UNKNOWN jobs are resolved, leaving some side-effect ambiguity.

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?

Three short lines, front-loaded with the core action, with no filler. The mock-data caveat is somewhat awkwardly inserted between the action and the operating rules but costs little.

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?

An output schema exists, so return shape need not be described, and the negative guarantees cover the riskiest behavior. What's missing is whether the call mutates stored job records and any expectation about repeated polling, which matters for a reconcile verb.

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 coverage is 0% and the single parameter has no description, so the description carries the burden. It explains the omission/default behavior meaningfully, but says nothing about the expected ID format or how invalid or already-terminal IDs are handled.

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

Purpose4/5

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

States a concrete verb+resource ('Poll job status') and the name plus 'Reconcile' framing distinguish it from the sibling gpu_get_job_status/gpu_list_jobs by implying batch synchronization of many jobs. It doesn't explicitly name those siblings as alternatives, so it stops short of a 5.

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?

'Omit job_ids to poll every active job, including UNKNOWN' gives a clear calling rule for the main decision point. However, it never says when to prefer this over gpu_get_job_status or gpu_list_jobs, so the agent must infer the routing itself.

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