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historical_weather

Read-onlyIdempotent

SYNTHORA historical-weather: verified historical weather for any place and date (1940 → ~5 days ago) from the ERA5 reanalysis — tmax/tmin, precipitation, max wind. For climate-market backtesting and claim verification. Source: open-meteo archive, free, no key. $0.03 USDC x402 Base. [x402: 0.03 USDC per call on Base]

Input Schema

NameRequiredDescriptionDefault
inputNoSYNTHORA historical-weather: verified historical weather for any place and date (1940 → ~5 days ago) from the ERA5 reanalysis — tmax/tmin, precipitation, max wind. For climate-market backtesting and c

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "date": "2026-08-01",
      +    "place": "Casablanca"
      +  }
      +]
    • changedInput schema / properties / input / description
      Previous value: -"product parameters (JSON or text). Example: {\"place\": \"Casablanca\", \"date\": \"2026-08-01\"}"New value: +"SYNTHORA historical-weather: verified historical weather for any place and date (1940 → ~5 days ago) from the ERA5 reanalysis — tmax/tmin, precipitation, max wind. For climate-market backtesting and c"
  2. Changed1 schema field changed
    • changedInput schema / properties / input / description
      Previous value: -"product parameters (JSON or text). Example: {\"input\": \"{\\\"place\\\": \\\"Casablanca\\\", \\\"date\\\": \\\"2026-08-01\\\"}\"}"New value: +"product parameters (JSON or text). Example: {\"place\": \"Casablanca\", \"date\": \"2026-08-01\"}"
  3. Changed1 schema field changed
    • changedInput schema / properties / input / description
      Previous value: -"product parameters (JSON or text). Example: {\"place\": \"Casablanca\", \"date\": \"2026-08-01\"}"New value: +"product parameters (JSON or text). Example: {\"input\": \"{\\\"place\\\": \\\"Casablanca\\\", \\\"date\\\": \\\"2026-08-01\\\"}\"}"
  4. Added
  5. Removed
  6. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/openWorld/destructive=false, but the description adds materially new operational facts the annotations cannot carry: the upstream source is open-meteo's free archive, no API key is needed, and each call costs $0.03 USDC paid via x402 on Base. Permission/return-shape details are still absent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core content is front-loaded and dense, but the pricing is stated twice in the same sentence ('$0.03 USDC x402 Base. [x402: 0.03 USDC per call on Base]') and the name is redundantly prefixed with 'SYNTHORA historical-weather'. Trimming the duplicate payment clause would improve it.

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?

With no output schema, the description usefully enumerates the returned variables, spatial/temporal coverage, data provenance, and cost, which is most of what an agent needs. It omits return format/precision and how the 'input' argument should be structured, a minor but real gap.

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 the baseline is 3. The description adds nothing about how to format the single 'input' argument (the schema's own example shows a date/place object, which does not match the string property), so it neither compensates for nor clarifies parameter semantics.

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?

It names a specific verb+resource ('historical weather for any place and date'), states the temporal coverage (1940 → ~5 days ago), the underlying dataset (ERA5 reanalysis), and the exact returned variables (tmax/tmin, precipitation, max wind). This clearly separates it from siblings like air_quality and space_weather_risk.

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

Usage Guidelines4/5

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

It gives explicit intended uses ('climate-market backtesting and claim verification') and a hard applicability boundary (only dates from 1940 up to ~5 days ago). It does not name an alternative tool or say when NOT to call it, so it stops short of full routing guidance.

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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