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Request final price

jerry_request_final_price

Get the final price of the quote the customer chose. Call it first with bundleId only: that selects the quote and returns the status, which may list what the final price still needs, then a confirmation. After the customer says yes to that confirmation, call again with its token and the customer's exact reply. Nothing is requested unless requested comes back true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bundleIdYesThe bundleId of the chosen quote.
intentIdYesThe shopping intent id returned by an earlier shopping tool.
confirmationNoOmit on the first call, which selects the quote and returns the confirmation to show.
idempotencyKeyYesUnique key for safely retrying this customer action

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare this is a non-read-only, open-world, non-idempotent action. The description adds behavior beyond that: the tool only actually requests something when 'requested' comes back true, and the second call must echo the customer's exact reply. It does not mention auth needs or side effects of the request itself, so a 4 rather than 5.

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

Conciseness4/5

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

Three tight sentences, purpose front-loaded, then the two-step protocol in execution order. Every sentence carries required information; only a small amount of density in the middle sentence keeps it from being a model of brevity.

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?

For a two-step, no-output-schema tool with a nested confirmation object, the description covers the full interaction: selection call, returned status/confirmation, customer approval, and the gated 'requested' condition. It is essentially complete, with only minor gaps around what a successful request actually produces.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3, and the description genuinely adds call-sequence semantics not in the schema: bundleId alone selects the quote on the first call, while token plus customerReply are only used on the confirmation call. That mapping of parameters to call stages is meaningful added value.

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 and resource: 'Get the final price of the quote the customer chose.' It is clear this operates on the chosen quote and is quote-related like its siblings, though it does not explicitly contrast itself against jerry_get_quotes or jerry_get_status, so the differentiation is inferable rather than stated.

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

Usage Guidelines4/5

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

Gives very explicit call sequencing: first with bundleId only, then again with the confirmation token and the customer's exact reply after the customer agrees. This is strong when-to-use guidance for the two-step flow, but it never names an alternative tool or a when-not-to-use condition, so it stops short of a 5.

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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