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

With annotations already covering read-only, open-world, and non-destructive traits, the description adds valuable context: the output format (article titles, sources, timestamps, URLs, snippets when available), a compact MCP view, and pricing (5 prepaid credits per successful call). It does not mention rate limits or auth, but the annotations lower the bar.

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 the core purpose and then adds relevant details about output and cost. It is efficient overall, though slightly longer than necessary with some repetition of return fields.

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?

Given no output schema exists, the description adequately explains return values and notes the compact view. It covers pricing and usage context, though it does not elaborate on pagination behavior or error handling, which are minor gaps.

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 is 3. The description only reiterates country and language targeting and gives examples for the query parameter, adding little 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?

The description states a clear verb (search) and resource (news) and specifies it returns Google News results for a topic, company, or person. It implicitly distinguishes itself from sibling search tools by focusing on news, but does not explicitly name alternatives like search_web.

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?

It provides clear context for use cases such as news monitoring and research, and mentions targeting by topic, company, or person. However, it offers no explicit when-to-use guidance versus sibling tools like search_web, nor any exclusions.

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