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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds useful scope context (comparison against 15 offices, visual-similarity matching) but says nothing about cost, latency, rate limits, or the shape of the returned matches — the aspects an agent would still need to plan a call.

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 purpose is front-loaded, which is good, but the description is padded by two overlapping keyword lists: the six enumerated trigger phrases and then the 'Even if the user does not explicitly say...' sentence restate the same triggering intent. It is not bloated enough to hurt, but the redundancy costs a point.

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?

There is no output schema, and the description never says what a result looks like — matched trademarks, similarity scores, bounding boxes, office of registration. For a detection/scoring tool with 7 parameters and no output contract, that is a meaningful gap, though the core purpose and trigger conditions are fully covered.

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 100%, so every parameter (regions, imageUrl, topNumber, enableRadar, enableLocalizing, productTitle, trademarkName) is already documented in structured form. The description only loosely reinforces this by mentioning '15 major trademark offices', which hints at the regions parameter, but adds no syntax or semantics of its own — the baseline 3 applies.

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 first sentence names a specific verb and resource ('Detect graphic trademarks in product images') and adds the method (YOLO detection + visual similarity) and data scope (15 trademark offices). The word 'graphic' implicitly separates it from the text-trademark and logo-removal siblings, but no sibling is named explicitly, so differentiation is inferential rather than stated.

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 description gives a rich, explicit trigger list ('logo infringement check', 'trademark similarity analysis', 'product image trademark screening') and even an anti-miss rule ('Even if the user does not explicitly say "trademark detection," this skill should be triggered whenever...'). It does not state when NOT to use it or point to a specific alternative (e.g., text trademark detection for word marks), which keeps it below a 5.

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