coordinates_to_digipin

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states only the core transformation and does not mention return format, error behavior, encoding caveats, or whether any validation occurs, leaving the agent without expectations for edge cases.

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, efficient sentence with no filler. The essential input-to-output relationship is front-loaded and every word contributes meaning.

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 is simple and all parameters are documented, but there is no output schema or annotation coverage. The description would be more complete if it specified the exact return value format and behavior on invalid coordinates, though the basic usage is still inferable.

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 fully documents both parameters with ranges, giving 100% schema description coverage, so the baseline is 3. The description adds nothing about coordinate systems, precision, or formatting beyond what the schema already provides, but for a simple conversion this is acceptable.

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 uses a specific verb ('Convert') and clearly names both the input ('latitude and longitude coordinates') and the output ('a DigiPin code'). This makes the tool's purpose immediately distinguishable from sibling geocoding and lookup tools.

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 conversion context is clear, so an agent can infer this tool is for turning raw coordinates into a DigiPin identifier. However, the description does not explicitly name alternatives or state when not to use it, leaving routing among sibling tools like reverse_geocode or lookup_location_from_coordinates to inference.

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