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Get option details

get_option_details
Read-onlyIdempotent

Returns the coverage breakdown, deductibles, discounts applied, and payment plans for one option (for example opt_home_a), so the customer can compare before choosing. The carrier stays masked as 'Carrier A-Home' and so on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quote_idYesThe quote session id.
option_idYesThe option to detail, e.g. 'opt_home_a' from get_quote_options.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
coveragesNo
premium_annualNo
premium_monthlyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedOutput schema / properties / premium_annual / type
      Previous value: -"number"New value: +[
      +  "number",
      +  "null"
      +]
    • changedOutput schema / properties / premium_monthly / type
      Previous value: -"number"New value: +[
      +  "number",
      +  "null"
      +]
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds a genuinely non-obvious behavioral trait the annotations cannot express: the carrier identity is masked ('Carrier A-Home'), which matters for how the agent presents results. It stops short of covering auth or session prerequisites.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler; the return payload is front-loaded before the masking caveat. Every clause carries information an agent can act on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description need not explain the response shape, and annotations cover the safety profile; it adds the masking behavior and a concrete option-id example. It is nearly complete, missing only workflow positioning relative to get_quote_options and any session/prerequisite note.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both required parameters are documented, including the 'opt_home_a' example that the description merely repeats. The description adds no syntax, format, or sourcing detail beyond what the schema already provides, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Returns') and enumerates exactly what the resource contains: coverage breakdown, deductibles, discounts, and payment plans for one option. The phrase 'for one option (for example opt_home_a)' implies the singular counterpart to the list-returning get_quote_options, but no sibling is named, so the differentiation is inferred rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'so the customer can compare before choosing' supplies a rationale that implies the pre-selection comparison scenario, which is more than nothing. However, it never states when not to use it, nor names get_quote_options as the prerequisite/alternative for enumerating options, leaving the agent to infer the workflow order.

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

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