coeus_pixel_art_set

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits such as side effects, return shape, or failure behavior. It only says the tool generates an icon family and does not explain how allow_partial, candidate_count, or palette affect the result.

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 one sentence with no filler, front-loading the verb and the expected outcome. Every word earns its place, and the structure is 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?

With six parameters, no annotations, and no output schema, a one-line description is not enough. An agent still needs to infer how candidate_count and allow_partial change behavior, what a generated family looks like, and whether the operation has side effects or prerequisites.

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 the schema already documents all six parameters. The description adds only a light semantic link between 'names and a shared prompt' and the names/prompt parameters, without enriching width, palette, allow_partial, or candidate_count.

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 states a specific action ('Generate') and a concrete deliverable ('matching UI icon family') and identifies the core inputs ('names and a shared prompt'). This distinguishes it from pixel-art siblings such as pixel_art_edit and pixel_art_find, though it does not explicitly name alternative siblings.

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 implies when to use the tool: when multiple icons should be produced from a given set of names and a shared prompt. However, it offers no explicit when-not guidance and does not name alternatives like coeus_pixel_art_generate, leaving usage routing mostly to inference.

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