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request_consultation

Idempotent

Book a consultation time returned by check_consultation_times, straight into the business's calendar. Only after the person said yes to this business and time; set customer_confirmed=true. answers: the business's questions mapped to the person's answers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
startYes
answersNo
companyNo
agent_nameNounknown
business_idYes
customer_nameYes
customer_emailNo
customer_phoneNo
customer_confirmedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=false, idempotentHint=true, destructiveHint=false, openWorldHint=true), so the description's contribution is the confirmation gate and the fact that the booking lands in the business's real calendar. It does not say whether the customer is notified or what happens on a slot conflict, leaving some behavioral gaps.

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 short sentences with the action and the precondition front-loaded. The 'answers' line is terse but readable; nothing is wasted, though the answers clause reads a bit like a schema annotation rather than prose.

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?

For a write tool with no output schema, the definition covers the gating condition and one key field, but omits the expected format of start, what identifiers are needed, and what a successful or failed booking returns. Annotations cover safety, so the remaining gaps are moderate rather than critical.

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 0% across 10 parameters, so the description must carry the load; it only explains two of them (customer_confirmed and answers) plus an implicit meaning for start via check_consultation_times. Required fields business_id, customer_name, and the notes/company/email/phone parameters remain undefined, so it is a partial but not full compensation.

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 (book a consultation) and ties it to the upstream source of the time slot, check_consultation_times. It is clear, but it does not explicitly differentiate itself from the nearby sibling book_appointment, which an agent could plausibly confuse for the same action.

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 after the person said yes to this business and time'), names the upstream tool that supplies the slot, and states the required flag to set (customer_confirmed=true). An agent knows exactly when this call is appropriate versus when to call check_consultation_times first.

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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