Mistral multimodal chat (vision)

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds value by stating 'Returns the assistant text + token usage', clarifying the output structure. No contradictions; the description is consistent with annotations.

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?

The description is concise (~150 words), front-loaded with purpose, uses bullet points for models, and clearly formats content structure. Every sentence earns its place with no redundancy.

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?

Given the presence of an output schema, the description appropriately focuses on input format, model selection, and usage context. It covers the tool's role, multimodal capability, and the when-to-use alternative. A mild gap is no mention of role alternation or conversation flow, but not critical.

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 50% (3 of 6 parameters have descriptions). The description adds meaning for the messages parameter (explaining content format as string or array with text/image_url/document_url parts) and model list, but does not compensate for undocumented parameters like temperature, max_tokens, top_p. Baseline 3 with marginal improvement.

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?

The description clearly states 'Chat completion with multimodal input: text + image_url parts', specifying the verb (chat), resource (multimodal input), and scope (text+image). It also lists compatible models and explicitly distinguishes from mistral_chat for non-visual requests.

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?

The description explicitly says 'Requires a vision-capable model' and lists accepted models. It provides clear guidance: 'For non-visual requests, prefer mistral_chat', directly telling when to use this tool versus its sibling.

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