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

It adds real context beyond the annotations by stating the channel header/ChannelOAuthId is resolved internally and that the header channel matters, which the annotations do not cover. The 'Returns the result or applies the effect of the get image info operation' sentence is boilerplate hedging rather than genuine disclosure of behavior.

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 text is padded with meta-commentary ('This is an explicit tool with a fixed endpoint; it is not a generic endpoint caller'), a 'Search terms: ai getimageinfo' line that just repeats the name, and a repeated purpose sentence. The useful payload (Ids: int[], channelOAuthId resolved internally) is buried mid-paragraph.

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 an output schema present, return values need no explanation, and the body's key field is covered. But the description still leaves 'image info' undefined and gives no sense of what Ids refer to (listing IDs? image IDs?), which an agent needs to build a correct payload.

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%, but the description adds meaning the schema does not: the body is a GetImageInfoRequest whose main field is Ids: int[]. That tells an agent what to put in the otherwise untyped body object, which is genuine value above the schema.

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?

It names the exact endpoint (POST api/AI/GetImageInfo) and clarifies it is not a generic caller, but 'get image info operation in AI optimization task management' never says what image info means (dimensions? optimization status?) or how it differs from image-related siblings like hgr_post_channellisting_optimizeimage or hgr_post_searchproduct_getlistingsimages.

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 'Use when' clause is circular: 'Use it when a client needs to run the get image info operation.' No alternative tool is named, no exclusion or precondition is given, so an agent has no signal for choosing this over the many other image/AI endpoints.

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