seasonal_strength

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

No annotations are provided, so the description must fully disclose behavioral traits. The description only states what the tool does without any information on side effects, performance, error handling, or output format. For a tool with no annotations and no output schema, this lack of behavioral detail is a significant 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 concise with a single sentence that directly states the tool's purpose and context. It is front-loaded and wastes no words, though it could benefit from additional detail. The structure is efficient but under-specified.

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 the complexity of time series analysis, no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It fails to explain parameters, output, or behavioral aspects, making it insufficient for effective tool use in this context.

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 0% description coverage, so the description must compensate. It does not mention the parameters 'data' and 'period' at all, leaving their meaning and usage completely undocumented. This is inadequate given the schema's lack of descriptions.

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 states the tool's purpose as 'Measure strength of seasonal component in time series' which is clear but somewhat vague. It specifies the domain and category, but does not differentiate from sibling tools like 'detect_seasonality' or 'seasonal_decompose' which likely have related functions. The verb 'measure' is specific, but the scope and method are not detailed.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description mentions the domain and category, but does not indicate prerequisites, typical use cases, or comparisons to sibling tools such as 'detect_seasonality' or 'seasonal_decompose'. This leaves the agent without clear direction on tool selection.

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