search_ai_news

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

With no annotations, the description must carry behavioral disclosure; it does state that it fetches news and filters by keyword. It does not describe result limits, pagination, source coverage behavior, or failure modes, but for a simple search tool the core behavior is reasonably clear.

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?

Purpose, usage guidance, and parameter documentation are compact and front-loaded. The first two sentences are slightly redundant, but the overall structure is efficient and easy to scan.

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, and the two parameters are simple and well explained in the description. The only notable gap is not differentiating from get_ai_news or explaining what happens when no sources are specified, but the defaults and examples cover most practical needs.

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 0%, so the description compensates well: it explains 'query' with multiple examples and defines 'sources' as comma-separated. It does not enumerate valid source values, but the schema default partially covers that.

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?

Clearly identifies a search action over AI news filtered by keyword, with concrete examples of topics. It is specific enough to be distinct from country/job search siblings, but it never explicitly differentiates itself from get_ai_news.

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?

Gives explicit when-to-use direction with example user queries like 'any news about MCP?' and 'latest on open source models.' However, it does not mention when not to use it or name sibling alternatives.

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