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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds real behavioral context beyond them: every fact is dated, and 'claimed' vs 'found' data are kept distinct, which tells the agent how to interpret the returned records.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

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

The lookup subject is front-loaded, which is good, but the rest is one long run-on clause enumerating field categories (price, docs, MCP, status page, certifications) that the output schema already defines. Those clauses rarely earn their place.

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

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

With one fully described parameter, annotations covering safety, and an output schema present, the description need not explain return values. The added note about dating and claimed/found separation rounds it out; only the missing routing guidance against siblings leaves a gap.

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

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

Schema coverage is 100% and the single parameter is fully documented with examples ('elevenlabs.io' / 'ElevenLabs'). The description's 'by domain or name' merely restates the schema, so the baseline 3 applies.

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

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

The description states a specific verb+resource ('One AI tool from the INITE Atlas, by domain or name') and enumerates the record contents, so an agent can tell it apart from atlas_search and atlas_compare. It is clear but verbose, and the sibling differentiation is implicit rather than stated.

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

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

Usage is only implied by 'one AI tool ... by domain or name' — the natural reading is 'use for a single known tool', but there is no explicit when-to-use, no exclusion, and no pointer to atlas_search or atlas_compare as alternatives.

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