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Nomic Atlas MCP by usefulapi

Get an organisation

nomic_get_organization
Read-only

Fetch an organisation by slug, with the datasets it holds. Atlas: GET /v1/organization/{slug}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe organisation's slug, from nomic_get_user.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.5/5.0
Behavior4/5

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

The readOnlyHint annotation covers the safety profile consistent with 'Fetch', and the description adds behavioral context beyond it: the response includes the organisation's datasets, and the underlying Atlas endpoint (GET /v1/organization/{slug}) is disclosed. Auth requirements, rate limits, and not-found behavior remain unstated.

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 operation and its scope in one tight sentence, followed by a short endpoint reference. Every element is short, though the Atlas endpoint line is somewhat auxiliary rather than essential to invocation.

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?

For a single-parameter read tool with 100% schema coverage and a readOnlyHint annotation, the description states what is fetched and what the response contains, which is sufficient without an output schema. Pagination behavior for large dataset lists and error handling for an unknown slug are the only unresolved gaps.

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 coverage is 100% and the single slug parameter is fully documented in the schema, including its provenance from nomic_get_user. The description adds no format, casing, or validation detail beyond that, so the baseline of 3 applies.

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?

States a specific verb and resource (fetch an organisation by slug) and adds scope by noting the datasets it holds are included. It does not, however, differentiate itself from lookups like nomic_get_user or nomic_get_dataset, which the agent must infer.

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 gives no when-to-use guidance, no prerequisites, and no named alternative. The only routing hint (slug comes from nomic_get_user) lives in the schema, not the description, and the sibling tools are never referenced.

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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