create_anthropic_message

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

With no annotations, the description carries full burden but only discloses 'non-streaming' and 'requires TOKENLAB_API_KEY'. It does not cover success/failure behavior, rate limits, or destructive potential, missing critical behavioral context for an AI agent.

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 two concise sentences that front-load the core purpose and features. Every word adds value, with no redundancy or filler.

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 tool's complexity (14 parameters, nested objects, no output schema) and lack of annotations, the description is adequate but leaves gaps such as return format, error handling, and streaming alternatives. It complements the schema but not exhaustively.

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?

The schema covers 100% of parameters with descriptions, so baseline is 3. The description adds value by explaining the 'prompt' parameter as a convenience shortcut not to combine with 'messages', and highlighting key features like multimodal blocks and tools.

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 the verb 'Create', the resource 'non-streaming TokenLab Anthropic Messages call', and key features like native messages, multimodal blocks, and tools. It distinguishes from sibling tools like create_chat_completion by specifying the Anthropic Message API.

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 implies usage for Anthropic models via TokenLab and mentions an API key requirement, but does not explicitly state when to use vs. alternatives, nor does it provide when-not-to-use guidance or comparisons with sibling tools.

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