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Propose a Green Gooding booking via Stripe Checkout

propose_booking

Re-validate availability + price for a rental and create a Stripe Checkout URL the user (or the agent itself, if it can pay) can complete to book the product end-to-end. No booking is created until the Stripe payment completes. Use get_quote instead when the human needs to confirm identity / enter delivery details on the web app first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateYesISO 8601 end datetime, must be after start_date
start_dateYesISO 8601 start datetime
coupon_codeNoOptional platform-wide coupon code
product_slugYesProduct slug from search_products / get_product_details
contact_emailYesEmail of the human who will receive the booking confirmation
delivery_option_idNoOptional delivery zone id from get_pickup_zones. Omit for pickup at default location.

TDQS

A4.4/5.0
Behavior4/5

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

The description discloses key behavioral traits: re-validation of availability and price, creation of a Stripe Checkout URL, and that no booking is created until payment completes. Annotations already indicate mutability and side effects; description adds useful context without contradiction.

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?

The description is composed of two concise sentences with no wasted words. The core action is front-loaded in the first sentence, and the usage guideline is clearly separated.

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?

Given the absence of an output schema, the description could be more explicit about the return value (e.g., the Stripe URL). However, it does mention creating a URL, which is sufficient. It lacks explanation of error handling if validation fails, but overall it is mostly complete for a tool of moderate complexity.

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?

All 6 parameters are fully described in the input schema (100% coverage). The description does not add significant meaning beyond what the schema provides, but it mentiones re-validation implying parameter usage. Baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool's function: re-validate availability and price, then create a Stripe Checkout URL for booking. It distinguishes itself from the sibling tool get_quote by specifying when each should be used.

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

Usage Guidelines5/5

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

Explicitly advises using get_quote instead when the human needs to confirm identity or enter delivery details on the web app first. Also implies the agent can complete the payment, providing clear guidance on when to use this tool.

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, but get_quote and propose_booking both create Stripe checkout URLs with overlapping functionality, potentially confusing an agent on which to use.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern (e.g., check_availability, get_pickup_zones, list_categories), making the naming predictable and clear.

Tool Count5/5

With 7 tools, the set covers browsing, searching, quoting, and booking without being overwhelming or too sparse, fitting the rental domain well.

Completeness4/5

Covers core workflows from discovery to booking initiation, but lacks post-booking management like cancellation or status checks, which is a minor gap for a complete lifecycle.

Resources