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

With no annotations provided, the description carries the full burden and does disclose key behavior: it ranks products, selects the cheapest tier meeting needs, respects budget, estimates events/credits, and notes that watch events cost 5 credits. It does not mention side effects or authorization, but the quote nature and pricing details provide solid transparency.

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 dense sentence that packs in inputs, transformation, and output characteristics without filler. It is front-loaded with the core purpose and every clause adds relevant information, though the long arrow chain is somewhat unwieldy.

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 7 parameters and no output schema, the description covers the main output and pricing behavior but leaves gaps such as parameter value formats for cohorts/signals, whether any inputs are effectively required, and how this quote relates to actually creating a watch. It is adequate but not fully complete for confident invocation.

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 low (29%), and the description compensates by naming all major filters and the budget concept, but it does not explain the meaning or accepted values for cohorts and signals. It adds grouping and intent but stops short of fully documenting parameter semantics.

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 identifies a specific action (quote a watch/signal feed) and a distinct resource, and clarifies that the output is a ranked product with pricing tiers. It references quote_request as a comparison, which helps orient the tool among siblings, though it does not explicitly define the boundary between quote_watch and quote_request.

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 explains what inputs are needed and what the output contains, but it does not state when to use this tool versus alternatives such as quote_request or create_watch. There is no when-to-use/when-not-to-use guidance or explicit alternative routing.

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