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Find Verified Contractor (Yakumo)

find_verified_contractor
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地域と工事名で、Yakumo(検証を通った加盟店だけが並ぶ建設モール)の検証済み施工店を探す。掲載は KIRA 適正診断の通過だけで決まり(fail-closed)、紹介料・掲載料は受け取らない中立の名簿。金額は出さずスコアとティアで示す。検証手続き中の店は pending として別に返す。条件に合う検証済みの店が無い時は 0 件と正直に返す(名簿は小さい)。価格の照会(get_price_range / audit_estimate)の後に、施主が『どこに頼めばいい』『信用できる業者は』と聞いた時に使う。 / Finds verification-passed contractors on Yakumo, a directory where listing depends only on passing the KIRA fairness audit (fail-closed) and no referral or listing fee is taken. Returns scores and tiers, never prices; pending stores are returned separately; returns 0 honestly when nothing matches (the directory is small). Use after a price check when the user asks who to hire or which contractor can be trusted. Trigger phrases: 業者を探したい, どこに頼めば, 信用できる工務店, find a contractor in Japan, who should I hire.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
areaNo地域(都道府県・市区町村、例: 平塚市, 神奈川県, 名古屋市)。 / Area: prefecture or city, in Japanese.
workNo工事名(例: 窓 交換, 外壁塗装, 浴室)。 / Work name in Japanese.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoHow many records matched. 0 means the source was read and nothing matched. It never means the source could not be read, that returns isError: true.
lookupNook = the source was read and something matched. absent = the source was read and nothing matched. A source that could NOT be read never appears here: that returns isError: true and makes no claim about what does or does not exist.
storesNo検証済みの店(member_no, name, area, works, fairness_score, integrity_tier, profile_url)
source_readNotrue on every successful result. A failed lookup does not return a result at all, so this is never false, it is declared so a consumer can assert on it.
did_you_meanNoNear matches, when an exact match was not found.
directory_sizeNo名簿全体の件数(掲載数と検証済み数)
pending_storesNo検証手続き中の店(スコア無し)
verified_countNo検証済みの件数

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only establish that this is a safe read on a closed set; the description goes well beyond them by disclosing the fail-closed listing rule, the no-referral/no-listing-fee neutrality, that pending stores are returned separately, and that a zero-match result is returned honestly rather than padded. These are exactly the behavioral traits an agent needs and cannot get from the schema.

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?

Front-loaded with purpose, then edge-case behavior, then usage routing and triggers, so the ordering is sound. Length is inflated by full Japanese/English duplication, but that is defensible for a bilingual trigger surface rather than pure redundancy.

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

Completeness5/5

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

An output schema exists so return-value documentation is not required, and the description still covers the notable return behaviors (scores/tiers, separate pending list, honest 0 count). Combined with clear invocation routing and a closed-world small-directory caveat, an agent has everything needed to call it correctly.

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 100% and both parameters (area, work) carry their own descriptions with examples, so the description adds no syntax or format detail beyond restating that lookup is by area and work name. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (find verified contractors on the Yakumo directory) and immediately scopes what makes the directory distinct: listing depends only on passing the KIRA audit, fail-closed, no fees. It also implicitly separates itself from the price-oriented siblings (get_price_range, audit_estimate) by declaring it never returns prices.

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?

Explicitly names the precondition and the alternative path: use it after a price check when the user asks who to hire or which contractor can be trusted, and lists trigger phrases in both Japanese and English. It also states when-not: price lookup belongs to get_price_range / audit_estimate, not this tool.

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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