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weather

Current weather + next 3h temperatures (open-meteo) Free check: https://sigtap-outreach-api.sigtap.workers.dev/preview/tools/weather = 200 demo sample, no wallet. Paid call: 402 challenge -> sign -> retry = settled on-chain. ($0.001 USDC on Base, x402)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude -90..90
lonYesLongitude -180..180

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
currentYes
next_3hYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "current": {
      +      "type": "object"
      +    },
      +    "next_3h": {
      +      "items": {
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "current",
      +    "next_3h"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.2/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so strongly: it reveals the free demo path, the paid call flow, the payment amount, the network (Base), and the x402 protocol. This gives an agent critical cost and authentication context beyond the schema.

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 dense but efficient: it front-loads the purpose first, then packs payment flow, cost, and demo URL into a compact string. Every clause adds useful information, though the arrow-notation and run-on structure make it slightly less scannable than ideal.

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

Completeness5/5

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

For a simple two-parameter weather tool with an output schema present, the description is complete: it explains how to test for free, how to pay for a real call, the cost, and the protocol. No critical behavioral context appears to be missing.

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%: both lat and lon are documented with their ranges and types. The description adds no further parameter-specific meaning, so the baseline score of 3 is 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 clearly states the tool returns current weather plus next 3-hour temperatures, sourced from open-meteo, which is a specific resource and scope. Although no explicit verb like 'get' is used, the intent is unambiguous and the tool is easily distinguishable from all listed siblings such as crypto_price or domain_age.

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 provides operational guidance by contrasting the free demo check (no wallet, 200 sample) with the paid on-chain call (402 challenge, sign, retry). However, it does not explicitly state when to prefer this tool over alternatives or include exclusion criteria, so usage guidance is implied rather than fully explicit.

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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