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

Annotations already declare idempotentHint=true and destructiveHint=false, so the description's marginal job is to explain side effects, which it does: it writes only the signup overlay layer and does not touch homepage/company/product, and it discloses that existing uploaded files are protected and cannot be overwritten by text. It even discloses the response shape (keys only, values not echoed). It stops short of describing failure behavior or partial-batch outcomes for an 80-item write.

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 critical constraints — layer scope, key provenance, and the alternative tools — are front-loaded in the first few clauses, and every clause carries a real constraint. The semicolon-chained telegraphic style is dense and slightly harder to parse than plain prose, but nothing is padded or redundant.

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 single-parameter mutation tool with no output schema, the definition covers the missing pieces: the caller-side workflow, key provenance, what is deliberately excluded, what is not modified, and the return shape. An agent has everything needed to call it correctly and to hand off to the right sibling when it is the wrong tool.

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?

Top-level schema description coverage is reported at 0%, so the description has to carry the load, and it does: it constrains where `key` may come from (get_signup_activity / get_signup_gaps, explicitly forbidding fabricated keys) and constrains value type to text only, excluding attachments and sensitive document answers. That is meaningful semantics beyond the raw schema, though it does not address batch/duplicate-key behavior.

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 opening clause names a specific verb+resource: saving user-supplied generic signup answers into the cross-form reuse layer, with the stated consequence that later signups auto-fill. It then explicitly separates itself from update_my_profile (profile/company/product), prepare_signup_file_upload (attachments) and submit_signup (per-event submission), so an agent can distinguish it from siblings without opening any 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?

It gives an explicit ordered workflow: get_signup_gaps.missingCombined → ask the user → this tool → per-event submit_signup. It also names the alternatives and the conditions that select them (profile data goes to update_my_profile, regular attachments go to prepare_signup_file_upload) and states exclusions (sensitive/ID questions must not be written).

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