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Superseded by the io.github.ogasurfproject-jpg/horizon-shield listing at https://mcp.horizonshield.dev, which is the URL published in the official MCP registry.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.

Get Fair Price Data Sources

get_fair_price_sources

Read-only

HORIZON SHIELDの相場データ(souba-db)の出典・更新日・地域係数を返す。価格の根拠を確認したい時に使う。 / Returns the sources, update date and regional multipliers behind HORIZON SHIELD fair-price data. Japan. Use to check the basis of a price.

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

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

A3.9/5.0

Behavior3/5

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

The annotations already declare readOnlyHint=true and destructiveHint=false, so the safe read nature is covered. The description adds that it returns 'sources, update date and regional multipliers' and notes 'Japan' context. It does not describe output format or any edge cases, but with such a simple read-only tool and a readOnlyHint, this is adequate but not beyond the annotations.

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?

The description is two concise sentences with no wasted words. It is front-loaded with the main purpose, includes the Japanese context, and provides a usage hint. Excellent structure for its purpose.

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?

Given the tool is simple, has an output schema, and has annotations for safety, the description covers the essential context. It explains the tool's scope (HORIZON SHIELD data, Japan), what it returns, and when to use it. It could mention that no parameters are needed, but that is implied by the schema. For a zero-parameter tool with an output schema, this is quite complete.

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

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and schema description coverage is 100% (trivially). The description adds meaning by explaining what data is returned, which is the only semantic needed. Since there are no parameters to describe, the description fulfills its role well.

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?

The description clearly states the tool returns sources, update date, and regional multipliers for HORIZON SHIELD fair-price data. The verb 'get' and specific resource 'fair price sources' make the purpose clear. It does not explicitly differentiate from siblings like get_price_range or verify_fair_price, but the focus on metadata (sources, date, multipliers) is distinct enough.

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 description provides clear context: 'Use to check the basis of a price.' This indicates when to use it. It doesn't explicitly mention alternatives or when not to use it, but the sibling tools like get_price_range or verify_fair_price are distinct enough that the usage context is reasonably 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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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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