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

Annotations already declare write (readOnlyHint=false), non-idempotent, non-destructive, openWorld. The description adds genuinely new context beyond those: the output is a public link anyone can use, and submitted responses are collected in Xenition rather than returned to the caller. That public-exposure and response-routing detail is valuable for a mutation tool. It stops short of 5 because it says nothing about permissions, limits on field count, or editing/deleting the form afterward.

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: the first front-loads what the tool creates, the public link, the return value, and where responses go; the second delivers the usage trigger. There is no filler, and the example use cases cost almost no tokens while sharpening the intent.

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 a full output schema present, the description needn't explain return values, yet it still flags that a shareable link comes back. Combined with 100% schema coverage, safety annotations, and listed use cases, an agent has enough to call this correctly. It is not a 5 because it omits any steering away from related tools (form_responses, submit_form) and gives no lifecycle context for the created form.

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 title, fields, and collectEmail are all already documented with meanings, and field type/options/required are described inline. The description adds no parameter-level syntax or constraints beyond the schema and merely repeats the general idea of collecting input. Baseline 3 is appropriate when the schema does the heavy lifting.

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 (Create) and resource (a fillable, shareable form) and reinforces it with a concrete analogy ('like a Google Form') plus example uses (surveys, sign-ups, feedback, RSVPs). It also says what the tool returns and where responses land, which implicitly separates it from view-side siblings like form_responses. It never names the closest siblings (find_forms, form_responses) explicitly, so it falls just short of a 5.

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?

The final sentence gives an explicit usage trigger: 'Use when the user wants to gather input from other people.' That is clear context for selection. However, there is no guidance on when NOT to use it (e.g., internal/local forms vs. public forms) and no named alternative such as find_forms or form_responses, so it stops at a 4.

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