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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavior that annotations cannot: a hard cap of 3 articles, the fields returned, and that 'full' expands to complete article text — valuable since there is no output schema.

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?

Two sentences, front-loaded with the verb and resource, then the return contract. Every clause carries information — result cap, field list, and the full-text toggle — with zero filler.

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 no output schema, the description accepts responsibility for the return shape and does so (up to 3 articles, title/summary/link). The only omission for a search tool is ranking or result-count behavior when zero matches are found, which is a minor 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 description coverage is 100%, so the baseline of 3 applies. The description restates the 'full' flag in behavioral terms (complete text of each article) but adds no syntax or semantics for query or language beyond what the schema already documents.

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 — 'Search the Screenbird help center' — and scopes the content with concrete categories (features, setup, troubleshooting). It is clear what it retrieves, though it never names the sibling search_content, so an agent must infer that this tool is the help-doc counterpart rather than the content-search one.

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 parenthetical 'how features work, setup, troubleshooting' effectively enumerates the situations this tool covers, which is stronger than implied usage. There are no explicit exclusions or named alternatives, so it stops short of full when/when-not guidance.

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