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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds that the search targets a fixed in-house catalog (consistent with openWorldHint=false) and that matching is by words, but says nothing about result ordering, pagination behavior with limit, or what a hit contains.

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?

A single front-loaded sentence with the resource and query style stated immediately, and no filler wording.

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?

For a three-parameter read-only search with no output schema, the definition covers what is searched and how to phrase the query. It is slightly thin on how results should be consumed (e.g. feeding get_assistant) and on the meaning of limit, but nothing essential to invoking it is missing.

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 33%: only lang is described, while query and limit are bare. The description partially compensates by establishing that query is word/keyword input rather than natural language, but limit (default 10, max 30) and its effect on results are left entirely unexplained.

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?

Names a specific verb (search) and a specific resource (Ninth Life Lab catalog of ready-made business assistants) and clarifies the query style with word examples. It distinguishes itself implicitly from get_assistant (single-item fetch) and book_a_call, though it never explicitly contrasts with the siblings.

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?

The examples ('inbox', 'stock', 'invoice') imply keyword-style lookup and thus hint at when the tool fits, but there is no explicit when-to-use versus match_business or get_assistant, and no statement of when not to use it.

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