Build a model sheet prompt

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

No annotations are supplied, so the description carries the full burden. It does disclose the output shape ('One prompt, one board, four angles of the same object'), but says nothing about whether it merely returns text versus writing artifacts, how the override parameters interact with the generated views, or any side effects or prerequisites. Adequate for a prompt-assembly tool, but noticeably thin given zero annotation coverage.

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?

Three sentences, front-loaded with the deliverable and then the value proposition and preset guidance; every sentence carries information. Slight promotional phrasing ('the fastest way', 'the best input') consumes space without adding actionable detail.

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?

Ten optional parameters with full schema documentation and an output schema mean the description's job is mostly framing, which it does well: purpose, output artifact, and preset semantics are all present. It stops short of explaining how the front/rear/side/perspective overrides compose into the board, which is the one remaining gap an agent might care about.

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 baseline is 3, but the description adds genuine meaning for the most consequential parameter: it explains what the object vs. vehicle presets are actually for. The remaining nine parameters (subject, finish, reference, note_file, the four view overrides) get no additional treatment in prose, leaving this just above baseline.

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?

States a specific verb and artifact ('Assemble a 4-in-1 model sheet prompt') and enumerates the four views it composes, so the deliverable is unambiguous. It does not name a sibling (e.g., generate_image) or explicitly say it returns a text prompt rather than a rendered sheet, so the differentiation from adjacent generation tools rests on inference.

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?

Gives clear context for when to reach for it — 'the fastest way to get a consistent set of views, and the best input for the image-to-3D models' — and steers preset choice ('object preset suits any prop, building, character or machine; the vehicle preset keeps a car or a bike in factory trim'). There is no when-not guidance and no named alternative, so it falls short of the 5 tier.

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