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geo-pera
by geo-pera

Extract a 3D point cloud (lon/lat/elev/attribute) from a GEDI or ICESat-2 granule.

catalog.granule_points
Read-only

Extract 3D point cloud data from GEDI or ICESat-2 granules for a specified area using a granule URL and bounding box.

Instructions

Extract a 3D point cloud (lon/lat/elev/attribute) from a GEDI or ICESat-2 granule.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
x-api-keyNo
bboxYesAOI [west, south, east, north]
clip_polygonNoAOI GeoJSON Polygon/MultiPolygon — points are clipped to this exact shape, not just the bbox
collectionYesRegistry collection id, e.g. GEDI02_A.v002 or ATL08_007
hrefYesHTTPS .h5 granule URL from the STAC item (Earthdata-hosted)
max_pointsNoUniform-subsample ceiling

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
pointsNo[lon, lat, elevation_m, value] rows
returnedNo
subsampledNo
value_labelNo
value_rangeNo
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds no additional behavioral context beyond what the annotations provide, so it adds no value in this dimension.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that repeats the title verbatim. While concise, it does not structure information to add value or front-load critical details beyond the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (6 parameters, 3 required, many siblings), the description is too brief. It lacks guidance on input requirements, supported collections, or when to use this tool over catalog.search or similar tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is high (83%), so the baseline is 3. The description does not add any parameter-specific meaning beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tautological: description restates name/title.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide any guidance on when to use this tool versus alternatives, nor does it mention when not to use it. It lacks explicit context for decision-making.

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

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