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Ranked Jobs

Search Tokyo jobs

search_jobs
Read-onlyIdempotent

Search live job openings in Tokyo, Japan, listed on Ranked (ranked.jp). Built for foreign professionals: filter by whether English is enough, whether Japanese is required, visa sponsorship, remote work and minimum annual salary in yen. Results are ordered by Ranked's rank score. Each job carries its Ranked page, where users can view details and continue to apply, and when the posting was last verified live.

Input Schema

NameRequiredDescriptionDefault
limitNoResults per page.
queryNoKeywords matched against title, company, summary and tags, e.g. "backend go" or "robotics".
offsetNoResults to skip, for paging.
remoteNoOnly jobs allowing remote work.
companyNoOnly jobs at companies whose name contains this text.
categoryNoJob category.
salary_minNoMinimum annual salary in JPY, e.g. 8000000. Jobs with no stated salary are excluded.
employment_typeNo
english_workableNoOnly jobs where English is enough (no Japanese requirement stated or reviewed).
visa_sponsorshipNoOnly jobs whose employer sponsors or may sponsor a work visa. Each result's visa.sponsorship says how sure: supported, likely or possible.
posted_within_daysNoOnly jobs first seen within this many days.
no_japanese_requiredNoOnly jobs that explicitly need no Japanese. Stricter than english_workable.

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?

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, non-open-world). The description adds genuinely new behavior: results are ordered by Ranked's rank score, and each result carries a Ranked page plus a 'last verified live' timestamp. That is useful context beyond the structured fields, though neither pagination semantics nor failure behavior is mentioned.

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?

Three dense sentences, front-loaded with the core purpose and scope before the filter and return-value details. No filler, though the middle sentence packs many filters together and could be tighter.

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?

For a 12-parameter, no-output-schema search tool, the description covers the essentials: scope, audience, available filters, result ordering, and what each result contains (Ranked page + verification timestamp). Nothing critical for invoking it 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 92%, so the schema already documents nearly every parameter including enums and the visa.sponsorship variance. The prose restates the same filters (English workable, Japanese required, visa sponsorship, remote, minimum salary in yen) without adding format or edge-case detail beyond the schema, so the 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?

States a specific verb+resource+scope: 'Search live job openings in Tokyo, Japan, listed on Ranked (ranked.jp).' The resource (jobs) is unambiguous and self-evidently distinct from sibling search_companies. It stops short of explicitly naming which sibling to prefer, so it is clear but not fully differentiated.

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?

The description frames the audience ('Built for foreign professionals') and enumerates filters, which implies when the tool is useful, but it never states when to use this vs get_job/search_companies or any exclusions. Usage is implied rather than explicit.

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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