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

Annotations already establish read-only, idempotent, non-destructive, closed-world behavior, and the description does not contradict them. Beyond that, it discloses that the link is validated ('checked') and that the response includes a human-readable rendering of the settings and a list of any settings it could not use, which tells the agent that bad input degrades gracefully instead of erroring. It also notes the returned set item is meant to be paired with make_set_link.

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?

Two sentences with no filler; the primary output (the link) is front-loaded and the secondary outputs follow. The phrase 'the settings in words' is compressed to the point of mild ambiguity, which keeps it from a 5.

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 carries the burden of describing returns, and it does: the link, a readable settings summary, unusable settings, and the set item. For a two-parameter, read-only link builder with a nested settings object, this covers what the agent needs; only error/failure behavior for an unknown maker slug is left implicit.

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 parameter definitions already carry the detail (slug, setting-id-to-value map, headerText). The description still adds meaning by framing the settings as tolerant input ('anything it could not use'), signalling that unrecognized or invalid settings are reported back rather than rejected outright. That is real guidance beyond the schema.

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 states a specific outcome: a validated ('checked') link that opens a worksheet maker preconfigured with supplied settings, plus the set item for later use. It names the sibling make_set_link and its role, so the agent can distinguish the two. It is slightly dense ('the settings in words') but the verb+resource is identifiable.

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 implies the workflow (get settings, build a link, then optionally use make_set_link to place the resulting set item into a set), but there is no explicit when-to-use or when-not-to-use statement. The alternative relationship is named rather than explained, so usage is inferred rather than spelled out.

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