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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint), and the description adds workflow context beyond them: gating on licensing/enablement, the requirement to fetch requirements first, the prohibition on inferring inputs, and that the call yields signed quote_id selections consumed by create_life_eapp. Failure modes and licensing-error behavior are not described, keeping it below 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?

Front-loaded with scope, then prerequisites, then inputs, then returns — a sensible order. The long product enumeration is justified because it defines coverage, but the paragraph is dense and pushes the returns description into a single run-on clause.

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 45-parameter, deeply conditional tool with no output schema, the description covers scope, prerequisite, input sourcing, and return contents (product details, comparison benefits, exam/application guidance, illustration values, signed quote_id). The remaining gap is that it never explains how to choose between this tool and the overlapping term/final-expense quote siblings.

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 coverage is only 40% across 45 parameters, but the description compensates partially: the product list maps natural-language product names to product_type enum values, it flags LTC/chronic-illness rider support (relevant to filter_chronic_illness_and_ltc and ltc_rider_percentage), and it tells the agent to obtain health-value labels from get_life_quote_requirements. It adds no syntax for the many undocumented optional fields.

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 and resource (quote life insurance) and enumerates the exact product set it covers — term, non-med, ROP term, fex, UL, IUL, PIUL, VUL, whole life, linked benefit, LTC, accidental death — so an agent can map a user request to this tool. It also draws a clean scope boundary ('Annuities are excluded'). The product names map directly onto the product_type enum values, which is unusually useful.

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?

Gives an explicit prerequisite ('Call get_life_quote_requirements first for enabled products and each product's schema/health labels') and an input rule ('Use explicit user inputs'). It also excludes annuities. It does not, however, resolve the overlap with siblings quote_term_life and quote_final_expense, which appear to cover products this tool also lists.

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