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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower, and the description usefully discloses semantic matching and the id-to-fetch handoff. However, it says nothing about result limits, ordering/recency, or whether 'followed stories' are included by default or on some condition, so behavioral coverage is partial.

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?

Three short sentences, front-loaded with purpose before the alternative and the follow-up workflow. The middle sentence partly restates the result shape that the output schema already carries, a small redundancy, but nothing is verbose.

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 single-parameter search with an output schema and full annotation coverage, the description supplies purpose, alternative routing, and the next step, which is close to sufficient. The remaining gap is sibling disambiguation from search_news, which an agent could plausibly confuse with this tool.

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?

Only one parameter, and schema description coverage is 100% (the schema already states 'What to look for, ideally in Croatian' with an example). The description's 'by meaning' reinforces the natural-language intent but adds no syntax, filtering, or format guidance beyond 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?

States a specific verb (Search) plus resource (Croatian news and followed stories) and adds the crucial qualifier 'by meaning', which tells the agent this is semantic rather than keyword search. It distinguishes itself from research_topic and fetch, but says nothing about how it differs from the near-identically named sibling search_news, leaving that ambiguity unresolved.

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?

'Use for open questions; research_topic gives a richer overview' gives an explicit when-to-use condition plus a named alternative with its trade-off. It also prescribes the follow-up step (pass an id to fetch for full text), though it omits any exclusion relative to the search_news sibling.

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