google_serp_news: GET /

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

Annotations are absent, so the description carries the full burden. It discloses the return payload (article title, snippet, source publisher, published date, thumbnail, URL) and navigation tokens, but does not explicitly state it is a read-only operation, nor mention pagination or rate limits. Adequate but incomplete.

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?

The description is front-loaded with 'Get Google News Results' and then concisely explains query modes and return fields. It is well-structured and free of fluff, though slightly long due to the enumeration of use cases.

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 8 parameters, no output schema, and no annotations, the description covers the primary use cases and token navigation, but omits pagination, error handling, and explicit read-only behavior. It is sufficient for basic usage but leaves gaps for deeper agent planning.

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 100% and each parameter has a detailed description. The description adds a summary of token usage and examples (e.g., World, Business, CNN, BBC), but largely restates schema info. It does not significantly deepen parameter understanding beyond what the schema already provides.

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 the specific verb 'Get' and resource 'Google News Results', then elaborates on the many query modes (free-text, topicToken, sectionToken, publicationToken, storyToken) and the return fields. This clearly distinguishes it from siblings like shopping, product, and general SERP tools.

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?

Explicitly lists use cases (news monitoring, brand/PR tracking, topical aggregators, publisher-specific feeds, story coverage) and explains when to use each token type. It does not explicitly exclude alternatives, but the domain-specific purpose makes the appropriate context clear.

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