check_coverage

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

With no annotations provided, the description carries the burden of behavioral disclosure. It usefully states 'No data is fetched', indicating a read-only operation, but it does not explain how 'touch' is determined or what the return format is. This is some transparency, but not comprehensive.

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 two tight sentences: the purpose is front-loaded, followed by input options and a key behavioral note ('No data is fetched'). Every clause earns its place with no repetition or filler.

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?

For a 4-parameter tool with no annotations and no output schema, the description is incomplete. It explains region/bbox but omits the window parameters entirely, and gives no hint of return structure or error conditions, making it insufficient for fully correct 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. It explains region and bbox adequately, including the [W, S, E, N] format, but it does not mention glas_window or atl03_window, leaving half the parameters semantically undocumented.

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 counts ATL03 and GLAH06 granules touching a region, grouped by month/laser campaign. It is specific about the resource and action, but it does not explicitly name or differentiate any sibling tool, so it falls just short of 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 practical input guidance: use either a region name (referencing list_regions) or an explicit bbox [W, S, E, N]. However, it does not state when to prefer this tool over siblings or when not to use it, leaving usage context implied rather than explicit.

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