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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool is free and that it hands off to the hospital's office, which provides some transparency. However, it does not disclose whether the tool makes external calls, modifies data, or has any side effects, leaving gaps in understanding the tool's behavior.

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 description is three sentences long, with the first sentence stating the main purpose, the second emphasizing the free nature, and the third describing the hand-off. It is efficient and front-loaded with critical information, though it could be slightly more compact.

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?

Given 7 parameters, no output schema, and no annotations, the description lacks detail on return values, eligibility thresholds, or what 'likely eligibility' means. While it explains the core FPL comparison, it omits important context about how other parameters influence the result, leaving the tool incomplete for an agent.

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 description adds context beyond the schema by explaining the core logic (income vs. FPL) and referencing state laws and the No Surprises Act. However, it does not detail individual parameters like 'billExceedsEstimate' or 'wasEmergency'. Given 0% schema description coverage, the description compensates moderately but could be more specific.

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 clearly states the tool detects eligibility for nonprofit hospital charity care, financial assistance, and the No Surprises Act based on income vs. FPL. It uses a specific verb ('detect') and resource ('eligibility'), and distinguishes itself from sibling tools like 'qualify_check' or 'visa_match' by its healthcare focus.

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 description does not provide explicit guidance on when to use this tool versus alternatives. It implies usage for charity care eligibility checks but offers no comparisons or exclusions relative to sibling tools such as 'applyby_deadlines' or 'life_event_scan'.

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