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List batch jobs

mistral_list_batch_jobs
Read-only

List batch inference jobs for your organization and user, with optional filters. Management API: GET /v1/batch/jobs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (0-indexed). Default 0.
modelNoFilter by model name.
statusNoFilter by job status, e.g. QUEUED, RUNNING, SUCCESS, FAILED, CANCELLED.
page_sizeNoJobs per page. Default 100.
created_afterNoISO 8601 date-time; only jobs created after this time.
created_by_meNoIf true, only jobs created by the current user. Default false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true, consistent with the description. The description adds the API endpoint and optional filters but does not elaborate on side effects or behavior beyond what annotations cover. No contradiction.

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 the core action. Every word is necessary; no redundancy.

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

Completeness2/5

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

No output schema exists, and the description does not hint at the return format (e.g., list of job objects). For a list tool with 6 parameters, the absence of output context is a gap.

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 100%, so the schema already documents all parameters. The description only mentions 'optional filters' without adding new meaning or usage context beyond the 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?

The description clearly states the verb 'List' and the resource 'batch inference jobs', and specifies scope ('for your organization and user'). It is distinct from sibling tools like mistral_get_batch_job.

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?

The description does not provide explicit guidance on when to use this tool vs alternatives (e.g., mistral_get_batch_job for a single job). The purpose is clear but lacks when-not or context for selection.

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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