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Glama

Japan Public Ledgers MCP

weather_risk_forecast

Daily weather forecast (temp max/min, precipitation probability, wind, weather code) for up to N days for a lat/lon via the free Open-Meteo API. Read-only; price 0.0 (free).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude (-90..90)
lonYesLongitude (-180..180)
daysNoForecast horizon in days (bounded)

TDQS

A3.7/5.0
Behavior3/5

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

The description discloses the tool is read-only and free, and mentions the underlying API (Open-Meteo). However, it does not discuss rate limits, data update frequency, or error handling, which would be helpful given no annotations.

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 two short sentences, highly concise with no redundant information. Every part adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lists returned data fields but no output schema is provided. It omits units (e.g., Celsius/Fahrenheit) and data resolution. Adequate for a simple weather tool but could be more complete.

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 baseline is 3. The description adds vague 'up to N days' but does not clarify bounds or units (e.g., allowed max days, default). The lat/lon descriptions are sufficient.

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 it provides a daily weather forecast with specific elements (temp max/min, precipitation probability, wind, weather code) for a lat/lon location. It is distinct from sibling tools like weather_risk_current_weather which provides current conditions.

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 daily forecasts but does not provide explicit when-to-use or when-not-to-use guidance compared to siblings like weather_risk_current_weather or weather_risk_severe_flags.

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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