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Japan Organic JAS Certified Operators

Organic JAS certified operator list changes

organic_jas_changes
Read-only

Which organic JAS listings were added to, changed in, dropped from or returned to MAFF's official lists since a date? From this service's own record of list versions (MAFF keeps no old files). Each change has the listing id, observed_at, last_seen_at, changed fields and before/after; personal-looking names are withheld and the reason for a drop is not published or inferred. History starts at tracking_since. Free window: last 30 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of changes, 1-500 (default 100)
sinceYesISO 8601 date or date-time with time zone, e.g. 2026-10-01 or 2026-10-01T00:00:00Z
countryNoOptional filter: country code (CN), English name or Japanese name. JP = the domestic list
change_typeNoOptional filter: added, modified, dropped_from_list or reappeared

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
termsYesURL of the terms of service.
changesYesChanges observed by this service between list versions, oldest first.
coverageYes
truncatedYes
provenanceYesFreshness receipts for every upstream source used.
answered_atYes
attributionYes
history_noteYes
legal_noticeYes
history_windowYesFree history window applied to this answer.
official_checkYesRead first: confirm with the certification body or on the official MAFF page listed here before relying on this answer.
tracking_sinceYesWhen this service first loaded the lists. Nothing before it was observed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

With readOnlyHint and openWorldHint already given, the description goes well beyond the annotations: it discloses the data provenance (the service's own record of list versions, since MAFF keeps no old files), what each change record contains, deliberate withholding of personal-looking names, that drop reasons are neither published nor inferred, the history start point, and the 30-day free window.

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 core question is front-loaded in the first sentence, followed by provenance, record contents and constraints. It is dense but every clause carries information; slightly longer than ideal but no filler.

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 values need no explanation, yet the description still summarizes the record fields, and it covers provenance, retention limits and the free window. Nothing an agent needs to call this tool correctly is missing.

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 limit, since, country and change_type are already fully documented in the schema, and the description's enumeration of change types merely mirrors the enum. It adds only light framing (since relates to tracking_since), which is not enough to lift it above the baseline.

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 states a specific resource (organic JAS listing changes) with a clear verb (which listings were added/changed/dropped/returned) and a scope constraint (since a date). It implicitly distinguishes itself from the sibling organic_jas_lookup by framing the tool as a change log rather than a point-in-time lookup, but it never names that alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied through constraints like 'since a date', 'History starts at tracking_since' and 'Free window: last 30 days', which tell an agent when the tool is applicable. However, there is no explicit when-to-use versus organic_jas_lookup or catalog, and no guidance on choosing change_type filters.

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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