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

Annotations already establish read-only, idempotent, non-destructive open-world reads, and the description adds real behavioral context on top: default responses return only summaries plus metadata to conserve tokens, and an invalid category does not error but returns an authoritative category list in warnings. It does not cover pagination totals or rate limits, so it stops short of a 5.

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 token-saving default and the full-text workflow are front-loaded before the bracketed per-parameter sections, which an agent can jump to selectively. It is longer than needed because the query/category/date sections restate what the schema already documents.

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 10-parameter, zero-required search tool with an output schema present, the description covers the retrieval workflow, token tradeoffs, the category discovery fallback, and how to escalate to get_article_detail. No caller decision is left unanswered by the combined description, schema, and annotations.

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%, so the baseline is 3, but the description adds meaning beyond it: category must be paired with language and matched case-sensitively, the placeholder-category retry loop, and the open-interval semantics of supplying only one date bound. Some of this duplicates the schema text, which caps the score below 5.

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 opens with a specific verb and resource (search and retrieve NewTimeSpace news articles) and lists the covered domains (finance, tech, IPOs, ETFs, overseas). It explicitly distinguishes itself from the sibling by naming get_article_detail as the tool for full article body, so an agent can route correctly without opening either schema.

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 gives explicit when-to-use rules per parameter: single core entity term only for query, empty query with page=1 for "latest news" requests, same-day filtering via identical start/end dates, and the include_content vs get_article_detail decision path. It also states when-not to pass compound or boolean queries. This is unusually complete routing guidance.

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