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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so credit goes to what the description adds: the default sort ('measured use'), the AND semantics of slices ('must all hold'), and the fact that calls are free with no allowance consumed. It stops short of describing pagination or result shape.

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?

Front-loaded and dense, with the mechanics explained in the first clause. However, the verbatim re-listing of 28 categories and 13 slices duplicates the schema enums, adding bulk the agent could have obtained from structured fields.

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?

An output schema exists, so return values need no explanation, and the description covers filtering semantics, default sort and cost. It is slightly incomplete on pagination (limit/offset) and on the undocumented 'liked' sort value, but is otherwise sufficient for correct invocation.

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 only 33% (q and slices are documented; sort, limit, offset and category are not). The description partially compensates by explaining filter combination and sort order, but it omits the 'liked' sort option present in the enum and says nothing about limit/offset for paging. The long category and slice enumerations largely duplicate the schema enums rather than adding meaning.

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?

States a specific verb and resource: filter the INITE Atlas catalogue by phrase, category and slices. The phrase 'without a model' implicitly contrasts it with the model-driven sibling match_tools, so an agent can distinguish the two, though it never names the alternative.

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 implied rather than stated: 'without a model' signals deterministic filtering versus semantic search, and 'Free, no allowance' signals no quota cost. There is no explicit 'use this when/when not' or named alternative, so the agent must infer the routing.

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