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Phoenix Mobile Mechanic Co — book mobile mechanic in Phoenix

Request mobile mechanic (free callback)

request_service

Book mobile mechanic in the Phoenix area for a real person who asked for it, with their consent. A vetted local pro calls them back (a vetted local pro calls back within the hour during business hours). Free to the homeowner. Returns a reference and what happens next. Check the ZIP with check_service_area first if unsure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipYes5-digit ZIP where the work is
nameYesThe person's real name
needYesWhat they need (e.g. won't start; brakes; check-engine light)
emailNoEmail (optional, recommended)
phoneYesUS phone number the pro should call (10 digits, any punctuation)
languageNoPreferred language (optional; English and Spanish are standard)
preferred_timeNoWhen they prefer a call or visit (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Goes meaningfully beyond the annotations by disclosing the callback SLA (within the hour during business hours), that it is free, the human-consent requirement, and a return of a reference. However, idempotentHint=false means repeated calls create duplicates, and the description never warns about that or about duplicate-booking risk.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core action well, but the parenthetical 'a vetted local pro calls back within the hour' redundantly restates 'A vetted local pro calls them back' from the preceding sentence. That duplicated clause is wasted space in an otherwise short description.

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?

With no output schema, the description usefully covers the return ('a reference and what happens next') and the key operational facts. For a mutation booking tool it is largely complete, though a duplicate/idempotency note would close the remaining gap.

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 100%, so the schema already documents all seven parameters, making the baseline 3. The description only indirectly touches parameters by tying the ZIP to the Phoenix area and stressing consent and a real name; it adds no format or constraint detail beyond the schema.

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 mobile mechanic in the Phoenix area') rather than a tautology. It also positions itself against the sibling check_service_area as a prerequisite. It stops short of distinguishing itself from get_service_info, leaving the sibling set only partially mapped.

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?

'for a real person who asked for it, with their consent' gives a clear precondition for use, and 'Check the ZIP with check_service_area first if unsure' supplies an explicit upstream step. There is no stated when-not-to-use condition, but the routing context is otherwise clear.

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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