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

Annotations already declare readOnly, idempotent and closed-world, so safety is covered. The description adds real context: that it may return a shortened suggestion and that its rules are grounded in a study of ~1,000 logos, which helps the agent trust and interpret output.

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 tight sentences with the core purpose front-loaded and the qualifying rules following. Every clause 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?

For a simple read-only two-param tool with full schema coverage, the description is nearly sufficient, mentioning that a suggestion may be returned. A brief note on what the verdict output looks like would close the only small gap, given no output schema.

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 100% and both parameters are documented, so the schema does the heavy lifting. The description adds no detail on the name or business_type parameters, making the baseline 3 appropriate.

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+resource (checks how a business name reads on a logo) plus a secondary action (suggests a shorter version). It is clearly distinct from create_logo_previews, which by name generates imagery rather than evaluating a name.

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 clear conditions for when the shortening logic kicks in (legal ending, web address, generic word, product word). It doesn't explicitly say when to prefer it over create_logo_previews, but the read-only evaluation role is obvious.

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