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

With no annotations, the description carries the full burden. It does add real behavioral detail — q requires every word to match across name/description/category/seller, and price is expressed in credits where 1 credit = $0.01 — but it says nothing about result ordering, pagination, or what a result record contains.

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 one-line purpose statement is front-loaded and the Args block is compact with no redundant prose. Every line carries information, though the structure is standard boilerplate rather than specially tuned.

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 six-parameter search tool with no annotations and no output schema, the description covers the inputs well but leaves the agent guessing about the response shape, result ordering, and how results are paginated beyond the limit cap.

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 0%, so the description must compensate, and it largely does: it explains match semantics for q, gives concrete category examples, clarifies verified means verified data providers, states the limit range of 1-100, and defines the credit-to-dollar conversion for max_price. It omits the default value of limit (20) and the default behaviors of the nullable filters.

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?

States a specific verb (search) and resource (data points offered by sellers), which an agent can distinguish from get_datapoint (single fetch) and search_sellers (different resource). It stops short of explicitly naming those siblings or the boundary between them, so it is clear but not maximally differentiated.

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?

Usage is only implied: the parameter list (q, category, seller_id, verified, max_price) suggests browse/filter scenarios, and it points to list_categories for valid categories. There is no explicit statement of when to use this versus get_datapoint or search_services, and no exclusions or prerequisites.

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