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Japan Public Ledgers MCP

holiday_calendar_tz_convert

Convert a wall-clock datetime (YYYY-MM-DDTHH:MM(:SS)?) from one IANA timezone to another using the platform Intl database. Pure/offline; price 0.0 (free).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toTzYesTarget IANA timezone (e.g. Asia/Tokyo)
fromTzYesSource IANA timezone (e.g. America/New_York)
datetimeYesWall-clock datetime, YYYY-MM-DDTHH:MM(:SS)?

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the responsibility. It discloses meaningful traits: uses the platform Intl database, is pure/offline, and costs nothing. However, it does not mention output format, handling of invalid timezones, or DST behavior, leaving some behavioral ambiguity.

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 a single sentence that front-loads the action and format specification. It includes all essential details (what, format, method, purity/cost) with zero filler.

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 simple conversion tool, the description covers input format, method, and constraints. It does not explicitly describe the return value, but that is implicit for a converter. The lack of an output schema creates a minor gap, but overall completeness is adequate.

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% with each parameter described in the input schema. The description restates the datetime format but adds no new parameter-specific details beyond what the schema already provides, so it does not elevate the baseline.

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?

The description clearly states 'Convert a wall-clock datetime from one IANA timezone to another using the platform Intl database', giving a specific verb and resource. It is unambiguous and distinguishes itself from sibling holiday_calendar_* tools which focus on holidays, not timezone conversion.

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 implies usage for timezone conversion but does not explicitly state when to use it over alternatives or provide exclusion criteria. The 'Pure/offline; price 0.0' note hints at a safe, free choice, but no direct comparison with other tools is offered. Usage context is inferable from the name and description.

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

B3/5.0
Disambiguation3/5

Most tools have clearly distinct purposes, especially the ledger-watch groups with domain prefixes. However, there are near-duplicate utilities such as content_authenticity_domain_reputation and domain_intel_reputation, and fx_tax_convert overlaps with price_oracle_fx_rate/convert. The sheer number of tools also increases the chance of selecting the wrong one, though descriptions are generally clear.

Naming Consistency4/5

The naming is largely consistent with a <domain>_<action> or <domain>_<watch>_<action> pattern, and all names use snake_case. Minor deviations include standalone names like entity_search, kyb_report, verify_receipt, and the confusing singular/plural pair of sanction_watch_* and sanctions_screen_*. Overall, the pattern is predictable.

Tool Count1/5

With 172 tools, this server is far beyond the typical well-scoped range. It bundles dozens of unrelated utility domains (weather, carbon, CVE, geo, etc.) alongside the Japan public-ledger watches, making it unwieldy for an agent to navigate. This extreme count is a major coherence problem.

Completeness4/5

For the core Japan public-ledger domain, coverage is excellent: each ledger has search, get, timeline, recent_changes, and verify_ledger, plus cross-ledger entity_search and temporal_query. The unrelated utility areas are also fairly complete for their own purposes, but the server's scope is so broad that some utilities are duplicated (e.g., multiple currency converters). Overall, no critical dead ends in the main domain.

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