finishline

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

No annotations are provided, so the description carries the full burden. It does disclose what data it draws from ('deep corpus') and the default scoping behavior, which is useful behavioral context. However, it does not explicitly reveal how it behaves on missing scope beyond 'default: the current target's scope' and does not state output format or side effects (though output schema exists, mitigating part of that gap).

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 and information-dense, front-loading the core purpose and listing the concrete contents returned. The wording is slightly awkward as a noun phrase rather than an imperative sentence, but no words are wasted and the structure is easy to scan.

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?

The tool has low complexity: one optional parameter, no required parameters, and an output schema exists so return value details are unnecessary in the description. The description explains scope meaning and default, lists what is measured, and names the source corpus, which is sufficient for an agent to invoke it 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 provides only the name 'Scope' with 0% description coverage. The description compensates by explaining that scope maps to a genre/family/tempo band and defaults to the current target's scope. This adds the key meaning missing from the schema, justifying a score above baseline; it loses one point for not elaborating on acceptable scope string formats.

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 specifies the resource and content clearly: it conveys what a finished record measures in the drop, i.e., acceptance bands per axis, kick and bass profiles, arrangement, and pump, sourced from the deep corpus. It is not a tautology and gives enough detail to distinguish it from siblings like monitor or measure, though it lacks an explicit action verb such as 'returns' or 'retrieves'.

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: to get finish-line benchmark measurements for a genre/family/tempo band or the current target's scope. It does not name explicit alternatives or exclusion criteria, and it does not explicitly state when to choose this tool over the many sibling measurement/comparison tools such as compare or readiness.

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