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

Annotations already declare readOnlyHint=true, destructiveHint=false, and closed-world scope, so safety is covered. The description adds genuinely useful behavior beyond that: results are capped at 10, sorted by popularity, and free text matches name + description. It doesn't discuss pagination or how to get more than 10 results, which is the only real gap.

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 purpose, then cleanly structured into Args and Returns sections. Every line conveys actionable information with no filler or repetition of the tool name.

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?

No output schema exists, but the Returns section covers the result shape, cap, and ordering. Parameters are fully documented and annotations cover the safety profile, so an agent has everything needed to call this correctly.

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 carry the full burden — and it does. Each of the three parameters is given type, allowed values, omission behavior, and concrete examples ('cashback', 'home loan', 'HDFC', 1-5 rating scale).

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 a well-scoped resource (FinanceGenius.AI's catalogue of Indian financial products), naming the domain explicitly. An agent can distinguish it from get_product_details (single item lookup) and compare_products (side-by-side comparison) from the description alone.

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 Args block implies usage ('Omit to search across all categories') and the free-text examples hint at query style, but there is no explicit statement of when to prefer this tool over siblings like compare_products or find_best_card_for_spend. Usage is implied, not directed.

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