bauer_sinning

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the read-only safety profile is covered. The description adds that the decomposition includes validation and 'certified parity evidence,' implying the output contains a parity-validation component, but it does not clarify what that evidence is or how it appears in the result. With annotations carrying the safety burden, the additional context earns partial but not full credit.

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 a single dense sentence with no filler, and the method name plus the distinguishing validation feature are front-loaded. It would be a 5 with an explicit functional verb (e.g., 'Estimates...' or 'Decomposes...'), but it remains efficient and 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?

Given a rich input schema (100% parameter coverage), output schema, and safety annotations, the description does not need to restate parameters or returns. However, for a complex estimator with many decomposition siblings, the missing 'when to use' context and the ambiguous 'certified parity evidence' leave selection partially to inference, so the description is minimally adequate but not complete.

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 input schema has 100% description coverage across all 12 parameters, so the schema already documents parameter meaning and the description need not repeat it. The description itself adds no parameter-level detail, which is acceptable under the baseline but yields no extra credit.

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 identifies a specific estimator (Bauer-Sinning 2008 nonlinear Oaxaca-Blinder decomposition) and a distinguishing feature ('Validation: certified parity evidence') that separates it from generic oaxaca or yun_nonlinear. However, it lacks an explicit verb and a plain-language statement of what the tool returns, so it does not fully earn a 5.

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 gives no guidance on when to prefer this tool over similar decomposition tools (oaxaca, melly_decompose, yun_nonlinear, fairlie) or what conditions make the validation/certified-parity feature necessary. The phrase 'with Validation' hints at a niche but never states exclusions, prerequisites, or alternatives.

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