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Oceanum MCP

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by oceanum-io

Datamesh Get Datasource Info

datamesh_get_datasource_info
Read-only

Get the metadata for one datasource: coverage, coordinates and variables.

Instructions

Get the metadata for one datasource: coverage, coordinates and variables.

The default view keeps every field of the full record but reduces each variable and coordinate to its dims, shape, dtype, units, long_name and standard_name, clips the description and long attribute values, caps global attributes. On very large records it sheds attributes and then per-variable details (the note says which), but every variable name is always listed.

Input Schema

NameRequiredDescriptionDefault
detailNo"summary" (default) returns the compact view described above. "full" returns the complete record, including every attribute and variable; it can be very large.summary
datasource_idYesThe unique ID of the datasource.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.6.0
    • changedInput schema / properties / detail / description
      Previous value: -"\"summary\" (default) returns the bounded view described above. \"full\" returns the complete record, including every attribute; it can be very large."New value: +"\"summary\" (default) returns the compact view described above. \"full\" returns the complete record, including every attribute and variable; it can be very large."
  2. First observedv0.5.2

TDQS

A4.2/5.0
Behavior5/5

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

With readOnlyHint and openWorldHint already provided, the description adds significant behavioral context beyond annotations. It explains that the default view reduces fields, clips long values, caps global attributes, and may shed attributes on very large records while always listing every variable name.

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 purpose is front-loaded in the first sentence, and the second paragraph is dense but every clause explains useful truncation behavior. There is no redundant or filler text.

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?

The tool has an output schema and annotations covering safety and openness, and the description supplies the missing behavioral details about truncation and large-record handling. An agent has enough information to call it correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description nonetheless adds meaning about what the default/summary view actually returns, especially truncation and field reduction, beyond the enum descriptions 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 states a specific verb and resource: getting metadata for one datasource, including coverage, coordinates and variables. It is clear enough to distinguish this from sibling query/load/search tools, but it does not explicitly name or contrast those alternatives.

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

Usage Guidelines3/5

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

Usage is implied by the purpose: use this to retrieve metadata for a known datasource. The description does not explicitly say when to choose this over siblings such as datamesh_search_catalog or datamesh_query_data, nor does it state prerequisites.

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