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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

TableJSON Schema
NameRequiredDescriptionDefault
inputNoproduct parameters (JSON or text). Example: {"input": ""}

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover safety traits like readOnly, idempotent, openWorld, and non-destructive. The description adds the paid x402 requirement and names the four underlying data feeds, which are useful invocation details beyond the structured annotations, though it does not describe response shape or limits.

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?

The description is a single front-loaded sentence that leads with the tool's core purpose. It is slightly weakened by repeating the payment amount in both the main text and the bracketed x402 note.

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?

There is no output schema, so the description should ideally explain what a returned risk verdict contains, but it leaves the response format unstated. The input schema is also vague despite full coverage, and the description does not compensate for those gaps.

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?

The input schema has 100% description coverage for the single input parameter, so the schema already carries the parameter semantics. The description itself adds no input-format or argument details, making the baseline 3 appropriate.

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 states a specific composite space-weather risk verdict and names the four NOAA SWPC feeds it fuses. That is far more specific than a restatement of the tool name and lets an agent distinguish it from weather, air-quality, and other sibling tools.

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 lists target domains such as defense, aviation, satellites, power grid, and precision GPS, which gives clear contextual guidance for when the tool is relevant. It does not, however, provide when-not guidance or name any alternative tool for comparison.

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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