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

Annotations already cover the safety profile (readOnlyHint=false, non-idempotent, non-destructive), and the description adds real context beyond them: the returned quote_id is reused by later calls, the result carries customer notices whose applicability is explained by notices.how_to_use, and Libertas never requires SSN/DL/payment in-conversation (customer keys them on a secure page). It does not spell out that repeated calls create duplicate quotes, which the non-idempotent hint implies.

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 purpose and effect, then a numbered checklist that mirrors the data-collection flow, so structure serves the task. It is on the long side and includes cross-tool field references (policy_terms.effective_date) that pull attention away from this call's own inputs, but no sentence is pure filler.

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 an output-schema-backed creation tool, it covers everything an agent needs: the required data to collect, the sequencing to the next call, the privacy boundary for sensitive fields, and the presence of customer notices in the result. Nothing actionable 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?

Schema description coverage is 100%, so the schema already documents product, meta_codes, and referral_source; the description adds no syntax or semantics for those fields. It references policy_terms.effective_date, a field not present in this tool's schema, which slightly muddies rather than clarifies parameter meaning. Baseline 3 is appropriate.

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 ('Opens a new home, auto, or bundled quote with Libertas Insurance') and the concrete artifact it produces (a quote_id). The word 'new' implicitly separates it from resume_quote/update_quote, and it names the downstream sibling get_quote_options, so an agent can place it in the workflow without opening a schema.

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 clear entry conditions (gather the listed details one topic at a time) and explicit next step ('Then call get_quote_options'). It does not explicitly state when to prefer resume_quote or check_quote_status instead, but the 'new' framing and sequencing make the intended usage unambiguous.

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