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

No annotations are provided, so the description carries the full behavioral burden. It clearly states the return contract: ranked products, cheapest fitting tier, estimated records/credits, cost, and the exact purchase call, which signals this tool prices rather than executes a purchase. It does not mention persistence or side effects, but the stated behavior is materially transparent.

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 one compact sentence with no filler. The action is front-loaded, parameter groups are listed efficiently, and the return value is stated at the end. Every part earns its place.

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 10 optional parameters and no output schema, this description is too thin. It tells the agent what the tool returns but leaves important usage gaps: whether at least one filter is required, whether region and bbox are mutually exclusive, how resolution/window_days/max_age_hours interact, and how this quote tool differs from quote_watch.

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 only 10% (only bbox is described), so the description must compensate. It lists all parameter names and hints at grouping (text/keywords/category and region/bbox), but it does not explain meaning, constraints, interaction, or which filters are required for a valid quote request. This adds only marginal value over the parameter names.

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 uses a specific verb ('Quote') and resource ('a dataset need') while enumerating accepted criteria and return contents, so an agent can tell what the tool does. It does not explicitly distinguish itself from the sibling quote_watch, preventing a 5.

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 phrase 'Quote a dataset need' provides implied usage context: use this when you want a quote for data matching certain criteria. However, there is no explicit guidance about when to choose quote_request over quote_watch, search_products, or sample_product, and no stated exclusions.

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