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space_weather_risk

Read-onlyIdempotent

SYNTHORA space-weather-risk: composite operational space-weather risk verdict fusing 4 NOAA SWPC feeds (Kp/G scale, GOES X-ray flare class, solar wind, proton flux) — for defense, aviation, satellites, power grid, precision GPS. $0.03 USDC x402 Base. [x402: 0.03 USDC per call on Base]

Input Schema

NameRequiredDescriptionDefault
inputNoSYNTHORA space-weather-risk: composite operational space-weather risk verdict fusing 4 NOAA SWPC feeds (Kp/G scale, GOES X-ray flare class, solar wind, proton flux) — for defense, aviation, satellites

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "input": ""
      +  }
      +]
    • changedInput schema / properties / input / description
      Previous value: -"product parameters (JSON or text). Example: {\"input\": \"\"}"New value: +"SYNTHORA space-weather-risk: composite operational space-weather risk verdict fusing 4 NOAA SWPC feeds (Kp/G scale, GOES X-ray flare class, solar wind, proton flux) — for defense, aviation, satellites"
    • addedInput schema / properties / input / examples
      Added value: +[
      +  ""
      +]
  2. Added
  3. Removed
  4. Added
  5. Removed
  6. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds the composite/fusing behavior of 4 feeds, which is useful, but omits latency, freshness, rate limits, or what the verdict actually contains.

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

Conciseness2/5

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

The description duplicates itself: the parenthetical '[x402: 0.03 USDC per call on Base]' restates '$0.03 USDC x402 Base' from the prior sentence. Mixed-language metadata and pricing buried mid-sentence make it less front-loaded than it should be.

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?

For a read-only composite-verdict tool with annotations already covering behavior, the description is adequate — it names sources and domains. But without an output schema, the description should clarify the shape of the 'verdict' and any temporal resolution, which it does not.

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% and there is only 1 parameter (input, not required), so the schema carries the burden. Baseline 3 applies; the description does not clarify what 'input' should contain despite the schema leaving it empty/ambiguous.

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 ('composite operational space-weather risk verdict') and enumerates the exact data sources (4 NOAA SWPC feeds) and target domains (defense, aviation, satellites, power grid, precision GPS). This is far more specific than any sibling, though the marketing-style copy slightly obscures the clean action statement.

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?

Target domains are listed, which implies when the tool is useful, but there is no explicit when-to-use vs alternatives, no exclusions, and no prerequisites stated. Given 27 siblings, the lack of differentiation from e.g. historical_weather or air_quality is a gap.

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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