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

With no annotations provided, the description carries the full behavioral disclosure burden. It reveals that uploads happen directly from the browser, bypassing sandbox egress restrictions, and that it returns file IDs. This goes beyond a simple 'upload' statement and gives agents insight into the interaction model and network behavior, though it does not cover edge cases like error handling or file size limits.

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 compact and logically ordered: first the core purpose and output, then usage triggers, then a fallback condition, and finally a key behavioral trait. Each of the three sentences contributes essential information with no redundant or vague filler. It is appropriately front-loaded and easy for an agent to parse quickly.

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?

The tool is simple (one optional parameter) and has an output schema, so the description does not need to explain return values in detail. It covers purpose, usage, alternatives, and a distinguishing behavior. However, it omits any mention of file size limits or prerequisites (e.g., browser interaction required), which could be relevant but are not critical for correct invocation. Overall, it is sufficiently complete for an agent to decide when and how to use it.

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%, and the schema already explains the only parameter (task_type) with 'Pre-select a task type. If omitted, the user picks one from the dropdown.' The tool description adds no further meaning about task_type, so it does not exceed the baseline of 3 for high schema coverage. No undocumented parameters exist that the description would need to compensate for.

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 clearly states that this is an interactive drag-and-drop widget for uploading JPEG/PNG images or MP4 videos, and that it returns file IDs for use with YouCam AI tools. This specific action (upload) and resource (file) distinguish it from sibling AI processing tools and from Get-Upload-API-Info, which provides API information rather than performing the upload.

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 explicitly defines when to use the tool: when the user wants to upload/select media, or when an AI tool requires src_file_id/ref_file_id and no ID or URL exists. It further directs use as a mandatory fallback when Get-Upload-API-Info fails for any reason, including specific failure modes. This clear routing with named alternatives leaves no ambiguity.

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