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

readOnlyHint=true already tells the agent this is a safe read. The description adds useful scoping context ('your organization and user') and the backing endpoint, but says nothing about pagination behavior or result ordering that a manual API doc would typically include.

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

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

Two short sentences with the purpose front-loaded and the API endpoint appended as a reference. No filler, nothing redundant.

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

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

For a read-only list tool with no output schema and full annotation coverage, the description gives sufficient scope and filter intent. Pagination expectations and default page size live in the schema, so little is missing.

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

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

Schema description coverage is 100%, so all six filters (page, model, status, dates, created_by_me) are already fully documented in the schema. The description only alludes to 'optional filters' generically, adding no syntax or format detail beyond the structured fields; baseline 3 applies.

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

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

Specific verb ('List') plus resource ('batch inference jobs') and scope ('for your organization and user'), so an agent knows exactly what it returns. It does not explicitly distinguish itself from the sibling mistral_get_batch_job or mistral_cancel_batch_job, keeping it below a 5.

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

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

'with optional filters' implies the filtering use case, and the presence of mistral_get_batch_job for single-job retrieval makes listing vs. fetching inferable. However, there is no explicit when-to-use or when-not-to-use guidance, so it stays at minimum-viable.

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