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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It mentions that the agent performs the transform locally and sends only a spectral summary, which is partially informative, but it does not disclose side effects, permissions, rate limits, or output behavior. The 'Specification pending' statement is a maturity warning, not a behavioral trait. Overall, the description gives minimal operational transparency.

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 concise, consisting of two sentences. It front-loads the primary purpose, then adds a usage note, and finally a specification status. Every sentence contributes meaningful information without redundancy. It is well-structured for quick scanning.

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?

This tool has five parameters, nested objects, no annotations, and no output schema, making it moderately complex. The description provides only the tool's purpose and a processing note, but lacks parameter details, expected outputs, error conditions, or safety information. The 'Specification pending' note further indicates incompleteness, leaving the description inadequate for reliable invocation.

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 0%, so the description must compensate for explaining the five parameters, but it does not. It only mentions 'pre-computed Walsh coefficients,' which maps to the walsh_coefficients parameter, but leaves n_samples, n_variables, ic_matrix_ref, and transform_method unexplained. Given the complexity of the nested walsh_coefficients object, this lack of parameter semantics is a significant gap.

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 clearly states the tool's function: 'Detect hidden synergistic structure via Walsh-Hadamard spectral analysis.' This specifies a distinct verb and resource, differentiating it from sibling tools like factorguide_diagnose and factorguide_regime_detect. The mention of accepting pre-computed Walsh coefficients further clarifies its specific role.

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 usage when pre-computed Walsh coefficients are available and notes that the agent should perform the transform locally, providing some context. However, it does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions or when-not-to-use guidance. There is no reference to sibling tools or conditional selection criteria.

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