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

With no annotations, the description carries the behavioral burden, and it does so reasonably well: it discloses the returned public event_url, the no-login access model, the admin note, and the need to poll get_results. It doesn't mention link expiration or edit/cancel behavior, but those are minor for successful invocation.

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?

Three sentences with no filler: the action comes first, then the usage context, then the output plus next step. Each sentence contributes distinct information.

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?

The description covers what the tool does, when to use it, what it returns, and what to do next, and the schema handles all parameter details. It stops short of explaining possible errors or the exact role of the admin note, but those are non-essential for initial invocation.

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 all six parameters already have meaningful descriptions in the input schema. The tool description doesn't add parameter-specific nuance, so the baseline 3 is appropriate.

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 action ('Create a free group-scheduling event') and a concrete deliverable shareable link, with a useful When2meet/Doodle analogy. It also distinguishes itself from get_results by presenting the event creation as the first step in a two-step workflow.

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 explicitly tells an agent when to use it: 'Use this when a human asks you to find a time for a group to meet.' It also names the sibling tool get_results as the follow-up polling step, giving clear routing guidance.

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