distance_band_weights

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

No annotations are provided, and the description does not disclose behavioral traits such as validation, error handling, performance implications, or requirements (e.g., CRS or geometry type). It only mentions 'from point data' but lacks depth.

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 one sentence and clear bullet points for parameters. No redundant information; every sentence serves a purpose.

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 large suite of sibling tools, the description lacks differentiation from other weight creation tools (e.g., knn_weights, weights_from_shapefile). It does not mention the output structure even though an output schema exists. Adequate but with gaps.

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 description adds meaningful context to all four parameters (e.g., threshold in CRS units, binary vs inverse distance) beyond the input schema which has zero descriptions. This compensates for the 0% schema coverage effectively.

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 creates a distance-based spatial weights object from point data, with a specific verb and resource. It distinguishes from siblings like knn_weights (k-nearest) and weights_from_shapefile (contiguity).

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 provides no explicit guidance on when to use this tool versus alternatives (e.g., knn_weights or weights_from_shapefile). It only describes parameters without contextual usage advice.

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