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Bota — car rental availability and bookings

provide_customer_details

Submit the driver's details for the booking in progress. Only call it after the customer has explicitly accepted the company's terms (terms_accepted must be true). Bota then shows the summary to confirm.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
notesNo
phoneNo
languageNoLanguage of the conversation, BCP-47 (es, en, pt-BR, fr, de, it…). Defaults to 'en'. Bota also answers in the language the customer writes.
last_nameYes
company_idYesCompany id from list_rental_companies.
first_nameYes
session_idYesSession id returned by a previous call for this company. Omit on the first call; ALWAYS pass it back on the next ones so Bota keeps the conversation (offers, selection, customer details).
flight_numberNo
terms_acceptedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=false and openWorldHint=true, so the description adds meaningful context: it must follow explicit terms acceptance, and the call triggers a summary confirmation step ('Bota then shows the summary'). This sequencing/side-effect information goes beyond the annotations. It doesn't cover error behavior or what happens to previously supplied details.

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?

Three short sentences, front-loaded with the core action and then the precondition and result. Every sentence carries information; there is no padding or restatement of the name.

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

Completeness3/5

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

There is no output schema, so the description must carry return/next-step context; it partially does by noting the summary confirmation. However, for a 10-parameter write tool with 6 required fields it omits session reuse, validation expectations, and failure behavior, leaving material gaps.

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 only 30%, with six params (first_name, last_name, email, phone, flight_number, notes) carrying no schema description. The phrase 'driver's details' loosely frames the identity/contact fields and the description adds real meaning for terms_accepted, but session_id continuity, notes, and flight_number are never addressed, so it only partially compensates.

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+resource: 'Submit the driver's details for the booking in progress.' An agent can distinguish it from siblings like confirm_booking or select_offer by the customer-data-collection role. It stops short of naming which sibling follows, so it misses the explicit differentiation a 5 requires.

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 a clear precondition: 'Only call it after the customer has explicitly accepted the company's terms (terms_accepted must be true).' This is genuine when-to-use guidance with a hard gate. No alternative tool is named for the other cases, so it isn't a full when/when-not/alternatives statement.

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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