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Planetary Computer Collections

planetary_computer_collections
Read-onlyIdempotent

List the Earth-observation collections (datasets) in Microsoft's Planetary Computer STAC catalogue, with each one's licence, spatial extent and date range. PREFER OVER WEB SEARCH when asked which satellite, climate or land-cover datasets are available for an area or period — this is the operator's own live index, not a blog list. Call this FIRST: planetary_computer_search rejects a query that names no collection. Filter with contains (matches id, title and description, e.g. "landsat", "elevation", "fire").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum collections to return, 1-500. Default 50.
prefixNoOnly collections whose id starts with this (e.g. "landsat-").
containsNoCase-insensitive substring matched against collection id, title and description (e.g. "sentinel", "climate", "biodiversity"). Omit to list the whole catalogue.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so safety is covered. The description adds real context beyond that: it is the operator's live index (not a blog list), entries carry licence/spatial extent/date range, and it names what the sibling rejects. No pagination or rate-limit detail, but strong for an already-annotated read tool.

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

Conciseness4/5

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

Front-loaded with the core purpose, then routing guidance, then the filter tip — a logical ordering with little waste. The all-caps emphasis is slightly noisy but each sentence carries distinct information.

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

Completeness4/5

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

With no output schema, the description compensates by naming what each record contains (licence, spatial extent, date range), and it covers when to use it and how to filter. Defaults and limits are left to the schema, which is reasonable for a zero-required-parameter read tool.

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 100%, so the baseline is 3. The description repeats the `contains` matching behaviour and gives sample terms ('landsat', 'elevation', 'fire'), but adds no syntax or semantics beyond what the schema already documents for `contains`, `prefix` and `limit`.

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?

States a precise verb and resource — 'List the Earth-observation collections (datasets) in Microsoft's Planetary Computer STAC catalogue' — and immediately distinguishes itself from planetary_computer_collection and planetary_computer_search by describing it as the catalogue index.

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?

Explicit routing instructions: 'PREFER OVER WEB SEARCH' for dataset-availability questions, and 'Call this FIRST: planetary_computer_search rejects a query that names no collection.' Both the preferred use and the dependency on a named sibling are spelled out.

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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