List models
mistral_list_modelsList every model available to your account — Mistral base models plus your fine-tuned models. Management API: GET /v1/models.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
mistral_list_modelsList every model available to your account — Mistral base models plus your fine-tuned models. Management API: GET /v1/models.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so safety is covered. The description adds genuinely useful context beyond that: the result spans both base and fine-tuned models and maps to GET /v1/models. It does not mention pagination or response shape, so it stays at a 3.
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?
One front-loaded sentence covering scope, followed by a terse endpoint reference. No filler, no restatement of the title.
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 parameterless, read-only list tool with no output schema, the description covers what the tool returns and where it routes. The only minor gap is whether results are paginated or how they are shaped, which an agent might want to know.
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?
Zero parameters, so the baseline is 4 by rule. The description adds nothing parameter-related, but there is nothing to document, and the endpoint note is a small supplementary detail.
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?
States a specific verb (List) and resource (models) plus scope: all models for the account, both base and fine-tuned. This implicitly contrasts with the singular mistral_get_model sibling, but does not name it explicitly to force the distinction.
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?
Usage is implied by 'available to your account' (discover which models you can target), but there is no explicit when-to-use, no when-not, and no named alternative to mistral_get_model for single-model lookups.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.