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

With no annotations supplied, the description carries the full burden and does a fair amount of work: it discloses the API-key auth requirement, the idempotent behaviour when re-linking an existing URL, that a supplied title will update the existing link, and that GitHub links get status enrichment. It does not state permission scopes or error behaviour, which keeps it below 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 core action and account scope are front-loaded, and the extra clauses each add information (link types, find_by_link pairing, GitHub status, duplicate handling). It is a single very dense sentence, though, and splitting the duplicate-URL rule into its own sentence would improve scanability.

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 three-parameter mutation with no annotations and no output schema, the description covers the important unknowns: auth, idempotency, title-update semantics, and how to retrieve the link later. Only return-shape detail and failure conditions are left implicit, which is a minor gap.

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 already 100%, so the baseline is 3, but the description adds real meaning beyond the schema: it explains that 'title' is applied as an update when the URL already exists, and that taskId refers to a task in the connected account. That is behavioural parameter context the schema does not convey.

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 ("Attach a link to a task") and immediately scopes it to the connected LoopGantt ACCOUNT, so it is distinguishable from siblings like add_comment or create_task. It also names the concrete link types (GitHub PR, Jira, Linear, Google Doc, Figma, Slack) which makes the tool's remit unambiguous.

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 a clear use context (making work findable by people and other agents, paired with find_by_link for retrieval) and a prerequisite (a LoopGantt API key). What is missing is an explicit exclusion, e.g. when to use add_comment instead of attaching a Slack thread link.

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