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

With no annotations, the description carries the full burden and does well: it discloses the metered cost ('counts 1 toward the monthly quota; re-reading is free') and a compliance obligation (the required copyright line must be included). It does not cover auth/account requirements, which the account_status sibling hints may be relevant.

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?

Front-loads the most decision-relevant fact (quota cost) in parentheses, then lists args and returns compactly. Every sentence earns its place with no filler.

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 no output schema, the description compensates by enumerating the return payload (headline, body, source agency, time, original link, copyright line). Combined with the quota and parameter details, an agent has everything needed to call and use the result.

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 0%, so the description must compensate and it does: it enumerates the allowed market values (us, kr, gb, eu, nz, au) that are absent from the schema, and explains that id must come from search_articles. Nothing needed to call the tool correctly is missing.

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 a specific verb+resource ('Get the full text of one article') and scopes it to a single article, which cleanly separates it from the plural search_articles sibling. It even names search_articles as the provenance of the id, so the agent knows the relationship between the two 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?

Implies the workflow search_articles -> get_article by stating the id comes from search_articles, and the quota note signals that calls should not be wasted. It stops short of explicitly saying when NOT to use it (e.g. use search_articles for headline lists), so it is clear context rather than full when/when-not guidance.

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