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

Annotations only supply readOnlyHint=true, so the description usefully adds behavior: the localized title/content expansion, the include default of 'locale_field' and its readability effect, and the exact API call. It omits auth/permission requirements, but for a read-only GET that gap is minor.

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 scope and return contents are front-loaded in a single sentence, with the endpoint appended as a compact reference. Nothing feels padded, though the endpoint suffix is only marginally useful.

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 returned fields (titles, contents, status, section, tags, votes, URL) and explaining the expansion default. For a simple two-param read tool, an agent has what it needs to call it correctly.

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 both parameters (article_id and include) are already documented, including the 'locale_field' default note. The description's mention of the include default largely restates the schema, so baseline 3 applies.

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 ('Fetch') and resource ('one knowledge-base article'), and the singular scope distinguishes it from the sibling list tool kayako_list_articles. It does not name that sibling, so it falls short of the 5-level sibling differentiation.

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?

There is no explicit when-to-use or when-not-to-use statement, and no routing to alternatives like kayako_list_articles or kayako_search_help_center. The 'fetch one article by id' framing implies the usage context, which lands at the implied-usage level.

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