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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds value beyond them by stating 'No auth required' and disclosing the return shape ({ ok, form, cohort: { size, approved, remaining } }), which is meaningful since there is no output schema. It stops short of describing pagination or freshness, hence a 4 rather than 5.

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?

It is front-loaded with the core purpose and every sentence carries information the caller needs (terms, question catalog, gating logic, invocation order). The parenthetical listing of all program terms is dense and slightly long, but each detail is decision-relevant for a prospective applicant, so it earns its place rather than padding.

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 fills the gap by naming the return shape and the key fields (form, cohort size/approved/remaining). It covers what the tool is, what it returns, when to call it, auth requirements, and how to interpret the output for the follow-up apply step. Nothing essential is missing.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The 'Args: none' line states this explicitly, which is a small clarity win.

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 exactly what the tool returns: the beta terms, every application question, and the reason each is asked. It distinguishes itself from its most relevant sibling by explicitly naming ic_spatial_beta_apply and positioning itself as the prerequisite. An agent can tell what this is for without opening anything else.

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 when-to-use rule ('Call this BEFORE ic_spatial_beta_apply so you answer well instead of guessing') and an actionable decision heuristic via the three `gates` booleans, noting a no to any likely means rejection. This is routing guidance plus eligibility guidance, not vague context.

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