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

With no annotations provided, the description carries the behavioral disclosure burden and largely succeeds. It discloses partial-data acceptance, speed ('Quick'), early gating ('after 2-3 fields'), and the blocking of known-decline scenarios before adapter dispatch. It does not state whether the operation has side effects or how errors surface, but the presence of an output schema reduces the need to document return shape in prose.

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 concise and well-structured: the first sentence states the core purpose, and the second paragraph gives a direct usage mandate. Each sentence earns its place, with no filler, repetition, or restating of schema content.

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 the 100% schema coverage, the presence of an output schema, and the simple two-parameter interface, the description is nearly complete. It tells an agent what the tool is for, when to call it, and what behavior to expect. It only slightly underspecifies what happens when no hard stop is found, but the output schema likely covers the result shape.

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 the baseline is 3 even though the description adds little parameter-specific detail. The phrase 'partial data' loosely reinforces the meaning of fields_json, but the schema already documents both parameters clearly, including examples for auto and homeowners values.

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 opens with a specific verb and resource: 'Quick pre-flight eligibility check with partial data.' It further explains that the tool 'surfaces hard stops' and 'blocks known-decline scenarios before any adapter dispatch,' which clearly distinguishes it from the sibling quote-generation tools and establishes its role as an eligibility gate rather than a quote producer.

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 gives an explicit usage directive: 'Use this FIRST in any intake flow,' and explains the rationale by noting it surfaces hard stops after only 2-3 fields and blocks known declines before any adapter dispatch. It does not explicitly name the sibling tools or state when not to use it, but the 'before any adapter dispatch' phrasing implies the intended sequencing.

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