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

Far exceeds the annotation bar: it discloses the auth model ('on the project's token', read 'as the agents read it'), a concrete rate limit (at most 10 reads/min per person, Jira and Confluence combined), a truncation rule (body cut at 12000 chars and it says so), and a full enumeration of refusal 'state' values including not_connected with a connecting url. These are exactly the behaviors an agent needs before invoking an open-world read.

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?

Purpose is front-loaded and every sentence carries information (scope, token, return shape, truncation, rate limit, refusal states). The em-dash-chained phrasing makes it dense and slightly hard to parse for an LLM, but nothing is 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?

No output schema exists, yet the description fully specifies the return payload (title, space, ancestor pages, version, last editor, Markdown body) and the failure surface via 'state'. Given three simple params and open-world read annotations, nothing an agent needs to call this correctly is missing.

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 baseline is 3; the description adds real meaning by naming the page argument as 'confluence_page_id' alongside its 'confluence_url' and clarifying the project/issue alternative route. It stops short of saying whether both project and issue can be supplied together or which wins.

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 and resource ('Read one page of the Confluence of a project's own Jira site') and immediately disambiguates from the near-identical sibling: it is not a page of this tracker's wiki (get_wiki_page). An agent can pick it apart from get_wiki_page and get_linked_jira_issue without opening a 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?

Gives explicit selection context: name the project by 'project' or an issue here by 'issue', and states the negative case against get_wiki_page. However it never names search_linked_confluence as the way to find a page when you only have a query rather than an id, which is the most likely mis-invocation path among all these siblings.

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