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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description is consistent with them, so no contradiction. It adds value beyond annotations by specifying search scope (titles and summaries of the live corpus), pagination semantics, and the exact return envelope (total_found, has_more, next_offset, articles), which helps an agent know what to expect from the call.

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?

Well-structured with a one-line summary, scope, best-for guidance, illustrative example queries, and separate Args/Returns sections. Each section earns its place; the examples actively teach query style rather than padding.

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 read-only, idempotent search tool with a return format fully specified, the description is nearly sufficient. The main gap is the undisclosed api_key parameter, which an agent needs to know about for authentication; the example queries and pagination contract cover most operational scenarios.

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?

With schema description coverage reported at 0%, the description carries the burden and partially compensates: it explains query (any language), limit (default 10), and offset (default 0) with types and defaults. However, it omits api_key entirely from the Args list, and does not restate constraints like limit's 1-50 range or query's length bounds, leaving the parameter picture incomplete.

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 names a specific verb and resource ('Full-text search across the current live AI and technology news corpus') and adds scope ('Searches titles and summaries of all stored articles'), which is clear and actionable. It does not explicitly name or contrast with siblings like news_search_entities, so some differentiation is left to inference rather than stated.

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?

Provides clear usage context via 'Best for: finding recent developments on a topic, researching a company, product or trend, discovering coverage of specific events,' plus three concrete example queries that convey intended scenarios. It lacks explicit exclusions or alternative routing (when not to use this vs. news_search_entities or news_get_entity), so it stops short of a 5.

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