get_model

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

No annotations exist, so description is the sole source. Discloses read-only nature ('Fetch'), but lacks details on return format, authentication, or rate limits. Adequate for a simple tool but not beyond basic.

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?

A single, concise sentence that front-loads the key action and resource. Every word is essential and well-placed.

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 simple single-parameter read tool, the description is nearly complete. It would benefit from indicating what fields are returned, but the tool name and context make it largely sufficient. No output schema needed.

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 covers 100% parameter description, including example values. The tool description adds no additional meaning beyond the schema, meeting baseline expectations.

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 specifies the action (fetch), resource (public TokenLab model details), and scope (one model ID). It clearly distinguishes from sibling tools like list_models or get_model_pricing.

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 fetching details of a single model, but does not explicitly state when to use vs alternatives (e.g., list_models for all models, get_model_pricing for pricing). No exclusion criteria provided.

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