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

With no annotations, the description carries the full burden. It discloses the return format (a shareable URL) and requires the caller to generate wheel content beforehand, but does not mention potential errors, rate limits, or data handling, which are relevant for an external service call.

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, every sentence earns its place: what it does, when to use it, and how to prepare inputs. The most important information is front-loaded.

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 tool with 100% schema coverage and no output schema, the description adequately explains the return value and procedural steps. It could mention error scenarios or validation behavior, but the current level suffices for straightforward use.

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 description largely restates the same constraints (title 2–6 words, options 6–12 items, 1–4 words each). It adds minor guidance about matching the topic mood, but does not substantially deepen understanding beyond 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?

The description opens with a specific verb+resource ('Send a decision wheel to Spin or Flip') and immediately states the output ('get a shareable spinning-wheel URL'). It clearly distinguishes this tool's purpose from any generic random-decision tool.

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 use the tool ('Use this whenever a user wants to spin a wheel or make a random decision') and provides concrete pre-call instructions on generating the title, options, and optional gradient. No alternatives exist among siblings, so no exclusions are needed.

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