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Japan National Exam Pass Results

Japanese national exam pass results (MHLW)

exam_results_lookup
Read-only

How many sat and passed this Japanese national exam, and what pass rate did MHLW publish? Give exam (exam_id like nurse or physician, or the name in Japanese or English) and optionally session (dai N kai). Returns applicants, examinees, passers and pass rate as published for all candidates and new graduates, a consistency check, revisions, source URL, retrieved_at and page SHA-256. Status found, not_found_in_checked_records or unknown. Check the official page.

Input Schema

NameRequiredDescriptionDefault
examYesexam_id (e.g. nurse, physician, pharmacist) or exam name in Japanese (看護師国家試験, 看護師) or English
sessionNoOptional session number (dai N kai), 1-999, e.g. 115 for the 115th nurse exam; omit for every session this service has read

Output Schema

NameRequiredDescriptionDefault
queryYes
termsYesURL of the terms of service.
sourceYesWhere the answer comes from: MHLW's pass announcement list page and when this service last read it.
statusYesfound = counts read from the exam's announcement page; not_found_in_checked_records = not on MHLW's current list page, or the session was not read; unknown = list not loaded or stale, page not read yet, unreadable or not fetched, or only partial-name candidates (unknown_reason).
resultsYes
candidatesYesPartial-name candidates when no exam has exactly this name or id. Not matches.
provenanceYesFreshness receipts for every upstream source used.
answered_atYes
attributionYes
not_coveredYes
status_noteYes
legal_noticeYes
official_checkYesRead first: counts as published by MHLW at retrieved_at; check the official announcement page.
unknown_reasonYes
registry_statusYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Beyond the readOnly/openWorld annotations, the description discloses return constituents (consistency check, revisions, source URL, retrieved_at, page SHA-256) and the three status values including the important not_found_in_checked_records case, which tells the agent that absence is scoped to checked records rather than proof of nonexistence. It also explains the session default ('omit for every session this service has read'). It stops short of describing coverage limits or freshness beyond retrieved_at.

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 and inputs are front-loaded, and the sentence listing return fields is compact. It is dense but nearly every clause carries information; 'Check the official page' is the only near-boilerplate line, though it usefully signals authority for the numbers.

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, annotations cover safety, and all parameters are documented, so the description only needs to add framing — which it does by explaining status semantics, provenance fields, and the session default. Nothing an agent needs to call this correctly appears to be 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 coverage is 100%, so both parameters are already documented with accepted id/name forms and the dai N kai session convention. The description restates the exam forms (nurse/physician, Japanese or English) without adding syntax or disambiguation rules the schema lacks, so baseline 3 applies.

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 opens with a specific question form that states the resource precisely: applicant/examinee/passer counts and pass rates for Japanese national exams as published by MHLW. A verb+resource is clearly implied and the scope (all candidates and new graduates) is named, though it never distinguishes this lookup from the sibling exam_results_list.

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 only implied: supply an exam identifier and optionally a session to get that exam's published results. There is no statement about when to prefer this over exam_results_list (which presumably enumerates available exams) or catalog, and no prerequisites beyond 'Check the official page.'

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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