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INITE Atlas

Keep a comparison as a dataset

atlas_dataset_create
Idempotent

Save a comparison as a private draft dataset in the signed-in account: tools, required capabilities, the default scenario. Returns the dataset id, configVersion and a preview with coverage. Nothing is public until atlas_dataset_publish. Needs a signed-in inite.ai account: a guest call answers 401 and starts the OAuth flow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNo
titleYes
configYes
categoryNo
idempotencyKeyYesAny unique string per intended change (8-128 chars). A retry with the same key and body returns the first answer.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
previewNo
coverageNo
datasetIdYes
configVersionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations cover idempotency and non-destructiveness, and the description adds real context beyond them: the resource is created private/draft and is not public until atlas_dataset_publish, the response includes dataset id, configVersion and a coverage preview, and unauthenticated calls fail with 401 plus an OAuth flow. It does not discuss rate limits or what happens on validation failure, so not a 5.

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-loads the core action and scope, then adds return shape, publication state, and auth in short clauses. Dense but every sentence carries information; minor overlap between the return-value sentence and the existing output schema.

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

Completeness3/5

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

An output schema exists so return values need not be spelled out, and the auth flow is well covered. However, with a deeply nested config object and only 20% schema description coverage, the description leaves the shape of config, category and lang largely unexplained for a creation tool with three required parameters.

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 only 20% across 5 parameters, so the description must compensate. It loosely maps 'tools', 'required capabilities' and 'default scenario' to the config object, but says nothing about title constraints, category, lang, or idempotencyKey beyond what the schema already documents. Partial compensation only.

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 specific verb and resource ('Save a comparison as a private draft dataset in the signed-in account') and names the configurable payload (tools, required capabilities, default scenario). It also explicitly contrasts with atlas_dataset_publish, so an agent can separate this create-draft step from the publish step without opening either schema.

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?

Gives clear context: use this to persist a comparison as a draft, and publication is deferred to atlas_dataset_publish. It also states the auth precondition (signed-in inite.ai account, guest calls 401 and trigger OAuth). No explicit 'when not to use' versus atlas_dataset_update, which keeps it from 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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