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BookingKoala by Cotlet

Send a quote

send_quote
Destructive

Email a saved quote to the customer with a link to book it. Sends a quote from list_drafts as the Send quote popup does: saves the recipient and expiry date on the quote, then emails the store's Send quote template (or your subject and message) with the quote's booking link. email defaults to the quote's customer; expires_on to the saved date, else a month ahead. Only drafts saved as quotes can be sent; a plain draft is refused before you confirm. The customer gets the email at once. By default you confirm each call; you can switch that off for this tool. Waits for the owner's approval.

Input Schema

NameRequiredDescriptionDefault
emailNoSend to this address. Default: the quote's customer.
messageNoEmail body (HTML allowed). Default: the store's Send quote template.
subjectNoEmail subject. Default: the store's.
draft_idYesId of a quote from list_drafts.
expires_onNoLast day the customer can book it, YYYY-MM-DD. Default: as saved, else a month ahead.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Goes well beyond the annotations: it discloses that the recipient and expiry date are persisted on the quote, that the customer receives the email immediately and irreversibly, that a non-quote draft is rejected before confirmation, and that each call requires confirmation/owner approval by default. These are exactly the side effects an agent needs before invoking a destructive, non-idempotent tool.

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?

Front-loads the core action and keeps the confirmation/approval caveats at the end where they belong. A few clauses, notably the restated parameter defaults, duplicate the schema and could be trimmed.

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?

Covers the mutation, its side effects, the refusal path, and the human-approval flow, which is everything needed to call it safely. The only omission is what a successful call returns, which matters slightly given there is no output schema.

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 coverage is 100% and the schema already documents every default (email → quote's customer, expires_on → saved date else a month ahead, message → store template). The description mostly restates those defaults rather than adding syntax or edge-case meaning, so the baseline 3 applies.

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?

States a specific verb and resource ('Email a saved quote to the customer with a link to book it') and immediately identifies the source object ('a quote from list_drafts'), which separates it from every sibling in the list.

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?

Gives an explicit precondition ('Only drafts saved as quotes can be sent; a plain draft is refused before you confirm') and points to list_drafts for obtaining the draft_id, plus states that confirmation is on by default and can be switched off. There is no ambiguity about when this tool applies versus not.

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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