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request_quote

Send a quote request to the business. Only after the customer has confirmed the details; set customer_confirmed=true to say so. Needs an email or phone so the business can reply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_nameNounknown
service_idNo
business_idYes
descriptionYes
customer_nameYes
customer_emailNo
customer_phoneNo
address_or_areaNo
preferred_timesNo
customer_confirmedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false, so the safety profile is covered. The description adds real workflow context beyond that: a mandatory human-confirmation precondition and the fact that the business needs a contact channel to reply. It omits what happens after submission (e.g., status tracking via check_request_status).

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 with zero filler, front-loaded with the action and immediately followed by the precondition and contact requirement.

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 non-idempotent, open-world mutation with no output schema and 10 undocumented parameters, the description covers the critical precondition and contact requirement but leaves most input fields unexplained. Adequate to call correctly in the common path, incomplete for the full parameter surface.

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

Parameters2/5

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 burden. It explains only customer_confirmed and the email-or-phone requirement (an important constraint, since both default to empty and neither is required in the schema), leaving business_id, description, customer_name, service_id, agent_name, address_or_area, and preferred_times undocumented.

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 ('Send a quote request to the business'), which is clearly distinct from book_appointment or check_availability. It does not explicitly name a sibling to route against, so it stops short of a 5.

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 an explicit gating condition: only send after the customer has confirmed the details, and set customer_confirmed=true to record that. It does not name alternatives (e.g., book_appointment vs. this request), but the when-to-use rule is clear and actionable.

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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