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

With no annotations provided, the description carries the full burden and does so admirably. It declares 'Read-only; changes nothing,' and details the return shape (files[] with hosted url and source) and semantics of an empty list. This gives the agent confidence about side effects and expectations.

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 but information-dense. It leads with the core purpose, then usage, return format, edge case, and safety note—each sentence earns its place. No filler or redundancy.

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 tool with one parameter and an output schema, this description covers purpose, when to use, parameter provenance, return behavior, empty-list meaning, and safety. There are no significant gaps for an agent to execute correctly.

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?

The schema has 0% description coverage, but the description fully compensates by explaining that token_id is the value 'request_image_upload_link returned.' This is precisely the meaning an agent needs and goes beyond the bare 'string' type. The single parameter is well-documented.

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 opens with a specific verb+resource: 'Return the EXACT images the user chose on their upload link.' It clearly distinguishes itself from siblings by referencing token_id from request_image_upload_link and contrasting with 'guessing from the whole gallery' (i.e., list_gallery_images). This makes the tool's purpose unambiguous.

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?

Explicitly states when to call: 'Call this after the user says they uploaded or picked their images.' It also tells the agent to pass the token_id from request_image_upload_link. It further explains how to handle an empty files list ('ask them to open the link...'), providing clear decision guidance. This exceeds mere context by offering alternatives and edge-case behavior.

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