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

Annotations already establish that this is a read-only, idempotent, non-destructive operation, but the description adds substantial behavioral detail beyond them. It specifies the possible per-requirement statuses, the overall outcomes, and the rule that 'unknown never counts as a fit', which is critical for interpreting results correctly.

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 front-loaded with the core purpose and packs a large amount of necessary detail into compact form. It is dense but largely earns its length, though the long inline enumeration of requirements could be structured more readably.

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 absence of an output schema and the generic input schema, the description does a strong job covering input requirement fields, result statuses, and outcome categories. It does not describe the exact return shape or how evidence is structured, but it provides enough semantic context for an agent to invoke and interpret the 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?

With schema description coverage at 0% and a generic nested requirements object, the description carries the full burden of parameter documentation. It enumerates the optional requirement keys, gives allowed values for billing and avoid_cost_traps, provides examples for service, and clarifies that each requirement is optional.

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 a specific verb and resource: checking a software choice against requirements before buying. It is distinguishable from cost-comparison siblings by its requirements-evaluation scope, but it does not explicitly name or contrast itself with alternatives such as check_offer_eligibility or compare_offer_costs.

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 'before buying' gives clear context for when to use the tool, implying a pre-purchase validation step. However, it provides no explicit exclusions or guidance about when to use sibling tools instead.

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