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

No annotations exist, so the description carries the full burden. It usefully discloses a real behavioral constraint — only titles and summaries are searched, not full page bodies — which helps scope expectations. However, it omits matching behavior (substring vs exact phrase), case sensitivity, result format, and any result limits, so it is not complete.

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?

One front-loaded sentence with no filler; the scope constraint is stated immediately. Nothing wasteful.

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 simple one-parameter search over a small content set, the description covers what is searched, which is the key unknown. Since there is no output schema, it could have said something about what results look like or whether all matches are returned, but this is a minor gap for a tool of this complexity.

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?

Single parameter with 100% schema description coverage ('The phrase to look for.'), which already matches the description's wording almost verbatim. The description adds little syntax or format detail (no quoting, operators, or false-positive guidance), so 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?

States a specific verb (Search) and resource scope (titles and summaries of services, case studies, articles), which is enough to distinguish it from the list_* siblings at a glance. It stops short of explicitly contrasting itself with list_articles/list_services, but the verb choice makes the distinction inferable.

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: an agent can infer 'use this when you have a phrase to look up' versus browsing with the list_* tools. There is no explicit when/when-not guidance or named alternative, so it lands at the minimum-viable level.

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