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Local Pros by Ron Ventures

find_local_pros

Find vetted, owner-operated local service businesses (plumbers, HVAC, electricians, roofers) near a US city. Covers Oklahoma, Kansas, Nebraska, Iowa and Missouri metros. Returns name, phone, trade, service area, services and hours so the user can call or request a quote.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesCity and state, e.g. 'Tulsa, OK' or 'Omaha'.
tradeNoKind of work needed. Default any.
problemNoOptional: what's wrong, e.g. 'water heater leaking'. Used to rank by services.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It earns credit for disclosing data provenance ('vetted, owner-operated') and the exact payload returned (name, phone, trade, service area, services, hours), which is helpful since there is no output schema. However, it says nothing about auth needs, result counts/pagination, ranking behavior, or how stale the listings might be.

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?

Two sentences, both load-bearing: the first defines the resource, scope and coverage; the second defines the return payload and the user's next action. Nothing is redundant or buried.

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 correctly compensates by listing the returned fields, and it defines the geographic boundary of the dataset. It is nearly complete for a simple lookup tool, missing only operational details like result limits or ranking/pagination behavior.

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 city, trade (including the enum and 'any' default) and the optional problem parameter. The description adds only a loose geographic framing ('near a US city') and does not expand on parameter formats or behavior, so the baseline 3 applies.

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 (find) and resource (vetted, owner-operated local service businesses) and even enumerates trades and the geographic footprint. It is very clear what the tool does, but it never explicitly names or differentiates itself from the sibling request_quote — the closing phrase 'so the user can call or request a quote' only hints at the downstream alternative.

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?

The described coverage ('Oklahoma, Kansas, Nebraska, Iowa and Missouri metros') effectively tells the agent when the tool applies and implicitly when it does not (outside those states). There is no explicit statement of exclusions or a direct comparison to request_quote, so it falls short of full routing guidance.

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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