HORIZON SHIELD

This connector has been deprecated

Superseded by the io.github.ogasurfproject-jpg/horizon-shield listing at https://mcp.horizonshield.dev, which is the URL published in the official MCP registry. The endpoint behind this listing is the same server and stays reachable.

Preview Reverse Estimate

preview_reverse_estimate

Read-only

リフォーム検討の初期段階向けのプレビューで、業者の概算が平均からどちらの方向にどの程度ずれているか(例: +20%高い方向)だけを返す。具体的な適正額(min/avg/max)や危険水準は返さない。手元に詳しい見積内訳がまだ無い段階での最初の一歩に向く。具体的な適正レンジが必要なら get_price_range、見積額の詳細診断は audit_estimate を使う。Japan only, JPY。 / A preview for early-stage renovation planning that returns only the direction of a contractor rough estimate versus the average (e.g. about +20% above). It does not return the specific fair range (min/avg/max) or danger threshold. Suited as a first step before a detailed breakdown exists. Use get_price_range for a typical range, audit_estimate for a detailed quote diagnosis.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`work`	Yes	工事名(日本語)。例: 外壁塗装シリコン。部分一致で照合。
`quoted_price`	Yes	業者提示の概算額(円, 数値)。

Output Schema

TableJSON Schema

Name	Required	Description
`count`	No	How 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.
`lookup`	No	ok = 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.
`source_read`	No	true 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_mean`	No	Near matches, when an exact match was not found.

TDQS

A4.6/5.0

Behavior5/5

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

Beyond the annotations (readOnlyHint=true, destructiveHint=false), the description discloses the tool's intentionally limited behavior: it does not return min/avg/max fair range or danger thresholds, only direction. This behavioral limitation is essential for setting correct expectations and is not visible in the schema or annotations.

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?

The bilingual description is somewhat long but each section earns its place: purpose, limitation, usage timing, alternatives, and locale constraints. It is front-loaded with the core behavioral result and avoids unnecessary flourish.

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?

With an output schema present, a 100% documented input schema, and strong annotations, the description adds the remaining necessary context: early-stage suitability, exclusion of detailed outputs, alternative tools, and Japan/JPY scope. This is complete for an agent to invoke the tool 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% with detailed descriptions for both parameters, including examples and partial-match behavior for work. The description adds context about comparing against an average but does not materially extend parameter semantics beyond what the schema already provides.

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?

The description clearly states the tool's specific function: it returns only the direction of a contractor's rough estimate relative to the average (e.g., +20% above). It also explicitly distinguishes itself from siblings by noting what it does not return and naming alternatives like get_price_range and audit_estimate.

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?

Usage context is explicit: it is for early-stage renovation planning before a detailed breakdown exists. The description gives clear when-to-use guidance and names specific alternative tools for different needs, making it easy for an agent to select correctly.

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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TDQS

A4.1/5.0

Disambiguation4/5

Most tools have distinct purposes: audit_estimate for detailed quote diagnosis, get_price_range for typical ranges, preview_reverse_estimate for early-stage direction, verify_fair_price for tamper-evident records. However, audit_estimate, get_price_range, and preview_reverse_estimate overlap in the price-checking domain, and verify_fair_price vs verify_integrity_claim could be confused (both involve SHA-256 verification), though descriptions clarify the opposite postures.

Naming Consistency4/5

Most tools follow a verb_noun pattern (audit_estimate, check_red_flags, get_price_range, list_cost_categories, search_cost_category, suggest_ehn, verify_fair_price). Minor deviations: create_ap2_fairness_attestation is longer and more specific, and get_agent_card/get_estimate_reading_guide/get_fair_price_sources/get_jccdb_dataset_info all start with 'get' but vary in noun phrasing. Overall consistent and predictable.

Tool Count4/5

14 tools is within the ideal 3-15 range, and each tool serves a distinct function in the domain of construction estimate auditing and fair-price verification. Slightly on the higher end but justified by the breadth of features (price lookup, audit, attestation, verification, data sources, educational guides).

Completeness4/5

The server covers the core workflow: lookup price ranges, audit specific quotes, check red flags, generate attestations, verify claims, and access data sources. Minor gaps: no tool for submitting new price data or updating categories, and no direct tool for comparing multiple quotes side-by-side, but agents can work around these with existing tools.

Resources

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