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get_item

Fetch a single AQUAVIEW dataset item with full details, properties, and download links (assets).

STAC items embed assets inline — each asset includes an href (download URL) and media type, so there is no need for a separate "files" call.

Args: collection: The collection ID the item belongs to (e.g., "NOAA", "NDBC", "WOD"). Available from search results or list_collections. item_id: The unique item identifier (e.g., "wod_xbt_ZZ144579"). Available from search results. output_format: "toon" (default) or "json".

Returns: Full STAC item with geometry, properties (title, description, datetime, institution, variables, per-variable descriptions under aquaview:variable_descriptions when available, etc.), and assets (download links with media types).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
item_idYes
collectionYes
output_formatNotoon

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • removedInput schema / properties / collection / description
      Removed value: -"The collection ID the item belongs to (e.g., \"NOAA\", \"NDBC\", \"WOD\"). Available from search results or list_collections."
    • removedInput schema / properties / item_id / description
      Removed value: -"The unique item identifier (e.g., \"wod_xbt_ZZ144579\"). Available from search results."
    • removedInput schema / properties / output_format / description
      Removed value: -"\"toon\" (default) or \"json\"."
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose a genuinely useful behavioral trait: STAC assets are embedded inline with href and media type, so no follow-up 'files' call is needed. It omits auth/permission requirements, rate limits, and any error behavior for a bad collection/item_id, keeping it out of the top band.

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 cleanly sectioned into Args and Returns. Every sentence is functional, though the Returns block partially restates what the output schema already carries, which trims a point off maximum conciseness.

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 3-parameter read tool with an output schema, the description supplies everything an agent needs: purpose, argument sources, format options, and the inline-assets behavior. Since a machine-readable output schema exists, the return-value detail is bonus rather than a gap.

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%, so the description must fully compensate, and it does: every one of the three parameters is explained with a concrete example value ('NOAA', 'wod_xbt_ZZ144579') and a source for the value. It also flags output_format's default and its two allowed values, matching the enum in the schema.

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

Purpose4/5

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

The description uses a specific verb and resource ('Fetch a single AQUAVIEW dataset item') and scopes the payload ('full details, properties, and download links (assets)'). It contrasts with a hypothetical 'files' call, but never differentiates itself from the actual siblings (search_datasets, list_collections, aggregate), so it lands at clear-but-no-sibling-differentiation.

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

Usage Guidelines4/5

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

It states where the required arguments come from ('Available from search results or list_collections'), which implies this is a fetch-after-search tool, and warns that a separate assets/files lookup is unnecessary. It gives no explicit when-not-to-use or preferred-alternative condition, so it stops short of a 5.

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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