get_model_pricing

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

No annotations are provided, so the description carries the full burden. It mentions 'No payment required,' which hints at cost-free access, but doesn't disclose other behavioral traits like rate limits, authentication needs, or what happens if the modelId is invalid. This leaves significant gaps in understanding the tool's operation and constraints.

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 extremely concise and front-loaded: 'Get pricing information for a specific model. No payment required.' Both sentences earn their place by stating the purpose and a key behavioral note. There's no wasted text, making it efficient and easy to parse.

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 low complexity (1 parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose and a cost aspect, but lacks details on usage context, error handling, or return format. Without annotations or output schema, more guidance would improve completeness, but it's not entirely incomplete for this simple tool.

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 input schema has 100% description coverage, with 'modelId' documented as 'The AI model database ID.' The description doesn't add any meaning beyond this, such as format examples or context about valid IDs. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 tool's purpose: 'Get pricing information for a specific model.' It uses a specific verb ('Get') and resource ('pricing information'), making the action clear. However, it doesn't distinguish from sibling tools like 'list_models' or 'check_payment_status', which could be related but serve different functions.

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 provides minimal guidance: 'No payment required' implies this is a free inquiry, but it doesn't specify when to use this tool versus alternatives. For example, it doesn't clarify if this should be used before 'create_payment' or after 'list_models', leaving the agent without explicit context for selection among siblings.

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