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HORIZON SHIELD Construction Cost Data: JCCDB (Japan) and USCCDB (United States)

Search JCCDB Line Items

search_jccdb_items
Read-only

日本の建設費オープンデータ JCCDB(v5.0 は計425,765件)の品目の目録(95,403)を名前で探す。生コン・異形棒鋼・ヒューム管・側溝など資材や製品、労務の品目が公的資料に実在するかと証拠URLを返す。工事カテゴリ(search_cost_category)に無い資材はこちら。地域・時点・価格は get_jccdb_observations。 / Search the JCCDB item catalogue (95,403 line items of the 425,765 records in v5.0; materials, products, labor) by name; returns whether each exists in a public document, with its evidence URL. Use for materials that are not renovation work categories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo返す行の上限(1〜50)。 / Maximum rows to return (1 to 50).
queryYes品目名(日本語。例: 生コンクリート 21-8-25)。 / Item name in Japanese.
categoryNo(任意) JCCDB のカテゴリ名で絞る。 / optional JCCDB category.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo当たった件数 / matches
itemsNo品目(名前・カテゴリ・単位・evidence_url) / line items with evidence URLs
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.
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.
observations_by_layerNo観測層にある件数 / observation rows by layer

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so safety and scope are covered. The description adds that each result includes an evidence URL proving existence in a public document, which is useful behavioral context, but with an output schema present, return-shape detail is largely unnecessary.

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?

Presented bilingually with the Japanese and English sections front-loaded and information-dense, though the bilingual duplication makes it longer than strictly necessary. Every sentence still carries routing or descriptive value.

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?

For a low-complexity read-only search tool with a full schema, annotations, and an output schema, the description covers what the tool does and when to prefer siblings. It is complete enough for an agent to select and invoke 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 description coverage is 100%, so all three parameters (query, limit, category) are already documented in the schema, including that query must be Japanese and examples. The description adds no syntax or semantic detail beyond the schema, so baseline 3 applies.

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 (search), resource (JCCDB item catalogue, 95,403 items) and the kind of content returned (existence in public document + evidence URL). It also distinguishes itself from the work-category sibling ('工事カテゴリ(search_cost_category)に無い資材はこちら').

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?

Explicitly names what to use instead for regional, temporal, or price data ('地域・時点・価格は get_jccdb_observations') and for renovation work categories ('search_cost_category'). No explicit 'when not to use' exclusion beyond that, but the routing guidance is concrete.

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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