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

Annotations only declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false, so the description adds real value: it discloses the point cost, the signed-in-account requirement, the external/registered-database scope (China and Vietnam), and a 'reference only, not a legal opinion' disclaimer. That is meaningful beyond the annotation set, though it says nothing about failure modes or latency of the image-matching gateway.

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?

Each language version is front-loaded and efficient, but the English and Vietnamese sentences are near-identical restatements, so roughly half the text carries no new information for an agent that reads either language. Functional for localization, but it doubles the surface area without adding semantics.

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 carries the burden of describing returns and does so: most similar registered trademarks from China and Vietnam with a similarity score, plus the disclaimer that these are machine image matches. Missing only pagination/result-count behavior and error handling, which are minor for a single-parameter lookup.

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% and the single parameter urlAnh carries only format=uri and maxLength in the schema. The description compensates by specifying that the parameter is an image URL and must be https, which is precisely the constraint an agent needs beyond the schema's generic uri format.

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 gives a specific verb and resource with a clear modality: 'Checks trademark (IP) risk from a product logo image', and states the output is the most visually similar registered trademarks with a similarity score. It distinguishes image-based checking ('bằng ẢNH logo') from a plain trademark check, though it never explicitly names sibling kiem_tra_shtt (the likely text-based counterpart), so the differentiation is implicit 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?

Input conditions are given ('give an https image URL') plus prerequisites (paid in points, signed-in OZ account), which is useful operational context. However, there is no explicit when-not-to-use guidance and no routing to alternatives such as kiem_tra_shtt for text-based trademark lookups, leaving selection between the two to inference.

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