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stac_list_collections

Discover all hosted collections in a STAC catalog by querying its live API. Returns titles, descriptions, and spatial/temporal extents.

Instructions

List available collections in a STAC catalog.

Queries the catalog's live API to discover all hosted collections with titles, descriptions, and spatial/temporal extents.

Args: catalog: Catalog name (default: earth_search). Options: earth_search, planetary_computer, usgs output_mode: Response format - "json" (default) or "text"

Returns: JSON list of collections with titles, descriptions, and extents

Tips for LLMs: - Use this to discover what data is available in a specific catalog - For detailed band/composite info on a collection, follow up with stac_describe_collection - Different catalogs host different collections — if a collection isn't found, try another catalog

Example: collections = await stac_list_collections(catalog="earth_search")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catalogNo
output_modeNojson
Behavior4/5

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

No annotations provided, so the description carries full burden. It states it queries the live API (read-only), but does not mention authentication, rate limits, or error handling. Disclosure is adequate but could be more comprehensive.

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

Conciseness5/5

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

The description is well-structured: short purpose, clear sections for args/returns/tips, and an example. Every sentence adds value without redundancy.

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

Completeness5/5

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

For a listing tool with no output schema, the description covers input parameters, return format (JSON list with titles, descriptions, extents), and usage context. It is complete given the tool's simplicity.

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

Parameters5/5

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

Schema description coverage is 0% but the description's Args section adds default values, options, and explanations for both parameters, providing significant meaning beyond the raw schema.

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

Purpose5/5

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

The description clearly states 'List available collections in a STAC catalog', specifying the verb and resource. It differentiates from sibling tools by explicitly mentioning follow-up with stac_describe_collection for detailed info.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance ('discover what data is available'), alternative catalogs, and a related tool for deeper detail (stac_describe_collection). Also suggests trying other catalogs if a collection is not found.

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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