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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false. The description adds value beyond these by disclosing the return payload ('offer, estimated savings and a link to claim it') and confirming the catalogue is a curated fixed set consistent with openWorldHint=false.

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?

Two sentences, no waste, and the core capability is front-loaded ahead of the usage trigger and return summary.

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?

With no output schema, the description correctly summarizes the return shape, and usage plus scope are covered. The only gap is the undocumented limit parameter and lack of explicit sibling routing for a zero-required-param 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?

Schema coverage is 75% (query, access, category documented; limit undocumented). The description reinforces what can be searched (tool name, category) but adds no syntax or format guidance for access tiers or the limit cap, so the schema does the heavy lifting.

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 and resource ('Search SaaSOffers' catalogue of verified startup deals, discounts and credits') with concrete inventory examples (Notion, AWS, HubSpot, Stripe, 490+ more). It does not explicitly differentiate itself from the get_deal or list_categories siblings, though the search scope is implied.

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?

Gives an explicit trigger condition: 'Use it when someone asks for a discount, coupon, free credits or startup program for a software tool, or for deals in a category.' No exclusions or named alternatives (e.g. get_deal for a single known deal) are provided, so routing to siblings is left to inference.

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