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

Annotations already declare readOnly, idempotent, and non-destructive behavior, so safety is covered. The description adds that the output is generated HTML placed in <head>, which is useful context, but says nothing about why certain flags exist, what the generated code does at runtime, or any auth/rate constraints.

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 tight sentences, no filler, with the core purpose front-loaded and the placement constraint appended where it is most useful.

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?

An output schema exists, so return values need no explanation, and the annotations cover the safety profile. However, for a 7-parameter code generator the description leaves all parameters and most behavioral nuance undocumented, making it only partially complete.

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 0% across 7 parameters, so the schema documents nothing. The description only alludes to window.grsfConfig and never explains hash, email, campaignId, affiliateJoin, useCampaignIdPlaceholder, enableParticipantAutoAuth, or includeAutoAuthCommentHeader, leaving the agent to guess at all inputs.

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 (Generate) plus resource (HTML code for Participant Auto Authentication) and even names the mechanism (window.grsfConfig). It distinguishes itself from generic snippet siblings by specifying the auto-auth use case, though it does not explicitly name the closest alternatives like growsurf_client_snippets.

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 placement hint ('belongs in <head>, before the GrowSurf Universal Code') clarifies how the output is consumed but not when to select this tool over the other snippet tools. Usage is only implied through the auto-auth context; there are no explicit when/when-not rules or named alternatives.

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