mistral_create_embedding

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

With no annotations, the description carries full burden. It does not mention behavioral traits such as idempotency, token consumption, or rate limits. The phrase 'Create vector embeddings' implies a write-like operation but lacks clarity on side effects.

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 a single sentence with no verbosity. It is concise but could benefit from mentioning output format. Front-loads the core purpose effectively.

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 tool with 3 parameters and no output schema, the description should explain the return value (embedding vector). It does not. Additionally, no guidance on when to use this over sibling embedding tools from other providers.

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 coverage is 67% (2 of 3 params have descriptions). The description adds no extra meaning beyond the schema. Baseline 3 is appropriate as schema does the heavy lifting.

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 'Create vector embeddings for text using Mistral's embedding model,' which is a specific verb+resource. It distinguishes from sibling tools like mistral_chat_completion but does not differentiate from other embedding tools (e.g., cohere_embed, openai_create_embedding).

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?

No guidance on when to use this tool vs alternatives (e.g., cohere_embed, openai_create_embedding). The description lacks context about prerequisites or scenarios for embedding creation.

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