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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful context beyond that: it names the authoritative source page (dolfdarts.com/setup) and states the response includes the page URL and sources, telling the agent the data is a static published snapshot rather than a live computation.

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?

One sentence, front-loaded with the verb and resource, followed by a compact enumeration of payload contents. Every clause carries information; nothing is filler.

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 no output schema, the description usefully enumerates what comes back, which is the main completeness need here. It doesn't discuss freshness or caching of the published figures, a minor omission for a static reference tool.

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 tool takes no parameters, so the baseline is 4; the description correctly implies a parameterless single retrieval and adds no misleading input expectations.

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 (get) and resource (dartboard setup figures) and then enumerates the exact contents returned: bullseye height, throw distances, diagonal check, wheelchair height, regional boards, FAQ answers and sources. None of the sibling tools (get_game, get_dolf_rules, get_checkout, etc.) cover static setup measurements, so the tool is trivially distinguishable.

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?

There is no explicit when-to-use or when-not guidance and no named alternative, but the narrow single-purpose nature (zero parameters, one fixed dataset) makes the intended use strongly implied. An agent can infer this is the lookup for setup dimensions rather than game rules or checkout info.

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