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One AI tool's measured record

atlas_lookup
Read-onlyIdempotent

One AI tool from the INITE Atlas, by domain or name: what it does and who it is for, the starting price with the pricing page and the day it was read and how the price has moved, how a program reaches it (API docs, an OpenAPI document that parses and its path count, an MCP server in the official registry and how it is tied to the vendor, a status page), what it states about your data (certifications, training on your data), and how used and how alive it is. Every fact is dated; 'claimed' and 'found' are kept apart. AI tools and software only, by INITE's measurement; a business's own confirmed facts are INITE Directory's (find_business, business).

Input Schema

NameRequiredDescriptionDefault
toolYesA domain (elevenlabs.io) or a name (ElevenLabs)

Output Schema

NameRequiredDescriptionDefault
urlNo
nameNo
errorNo
foundNo
domainNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedOutput schema / properties / error
      Added value: +{
      +  "type": "object"
      +}
    • addedOutput schema / properties / found
      Added value: +{
      +  "type": "boolean"
      +}
    • removedOutput schema / required
      Removed value: -[
      -  "domain",
      -  "name",
      -  "url"
      -]
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive, closed-world behavior, so the bar is lower. The description still adds real context annotation cannot: every fact is dated, 'claimed' and 'found' are kept apart, and the record distinguishes vendor claims from INITE-measured findings. It does not discuss error behavior for unknown tools or rate limits, so it stops short of 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.

Conciseness3/5

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

The purpose is front-loaded, but the body is one sprawling sentence built from nested clauses and commas that is dense to parse. It is information-rich rather than wasteful, yet the enumeration of record contents could be tightened without losing meaning.

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?

An output schema exists, so return-value explanation is not strictly required, yet the description usefully previews what the record contains and its provenance discipline. Combined with full parameter coverage and complete annotations, an agent has what it needs to call it correctly; only the identifier-resolution edge cases are unstated.

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 parameter already documents 'domain (elevenlabs.io) or name (ElevenLabs)'. The description repeats those exact examples without adding resolution rules (e.g., which wins if both a name and domain match, or what happens for ambiguous names). Baseline 3 is appropriate.

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: retrieve one AI tool's measured record from the INITE Atlas, identified by domain or name. It enumerates the record's contents (pricing with date and movement, API/OpenAPI/MCP access, data policies, usage/liveness) and explicitly scopes itself to AI tools and software only, which separates it from the atlas_search/atlas_compare siblings and from find_business/business.

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 input guidance ('by domain or name') and an explicit boundary: business facts belong to INITE Directory's find_business and business, not here. It does not, however, say when to reach for this versus atlas_search (discovery) or atlas_compare (multi-tool comparison), so some sibling routing is left implicit.

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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