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Get Fine-Tuning Job

mistral_get_fine_tuning_job
Read-onlyIdempotent

Retrieve details for a Mistral fine-tuning job by job ID to monitor status, parameters, and progress.

Instructions

Get details of a fine-tuning job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesJob ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond that baseline — no indication of what fields are returned, error behavior for an invalid job_id, or whether the job must be in a particular state.

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?

A single front-loaded sentence with zero waste. It is efficient, though arguably under-specified rather than tight — there is no padding to cut, but also little content to justify.

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

Completeness3/5

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

For a simple one-parameter getter with annotations covering the safety profile, the description is adequate but minimal. With no output schema, an agent gets no signal about what 'details' are returned or how a missing/invalid job behaves.

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?

With a single parameter and 100% schema description coverage, the schema already documents job_id as a string with minLength 1. The description adds no syntax, format, or sourcing guidance beyond what the schema provides, which is the baseline case.

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 specific verb (Get) and resource (details of a fine-tuning job), which distinguishes it from mistral_list_fine_tuning_jobs and the mutation siblings. However, it does not explicitly name or contrast with those siblings, so the differentiation is implicit rather than stated.

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?

Usage is only implied: the agent infers this is the tool to call when it already holds a job_id and wants detail rather than a list. There is no explicit when-to-use, when-not-to-use, or reference to list_fine_tuning_jobs as the alternative.

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