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I used the same url for two different postings.

weather_oracle

Read-only

Fetches live atmospheric conditions and flight safety clearances ($0.001 USDC)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYesTarget latitude coordinate
longitudeYesTarget longitude coordinate

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successYesOracle query status
weatherNoLive atmospheric metrics
flightSafetyClearanceYesSAFE, CAUTION, or HAZARDOUS clearance

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / latitude / description
      Added value: +"Target latitude coordinate"
    • addedInput schema / properties / longitude / description
      Added value: +"Target longitude coordinate"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "flightSafetyClearance": {
      +      "description": "SAFE, CAUTION, or HAZARDOUS clearance",
      +      "type": "string"
      +    },
      +    "success": {
      +      "description": "Oracle query status",
      +      "type": "boolean"
      +    },
      +    "weather": {
      +      "description": "Live atmospheric metrics",
      +      "type": "object"
      +    }
      +  },
      +  "required": [
      +    "success",
      +    "flightSafetyClearance"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description's 'fetches' aligns without adding safety info. It does add the cost ($0.001 USDC) which is beyond annotations, but it does not disclose other behaviors like data freshness, rate limits, or the nature of 'flight safety clearances.' With annotations covering the safety profile, this adds modest value but is not rich.

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?

A single sentence that is front-loaded with the action and resource, and the cost is a minor appendage. Every word earns its place; there is zero redundancy.

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?

The tool has an output schema (not shown), so return values are likely covered. The description covers the primary purpose and cost, and the parameters are straightforward coordinates. It does not mention any exclusions or specific use cases, but for a simple fetch tool this is acceptable. A minor gap is the lack of clarity on what 'flight safety clearances' means, but that is likely in the output schema.

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 both latitude and longitude are already documented in the schema. The description does not add any extra meaning about parameter usage, format, or units. Baseline of 3 is appropriate because the schema does the heavy lifting.

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?

The description states a specific action ('fetches') and a clear resource ('live atmospheric conditions and flight safety clearances'). It is distinct from the sibling tools, none of which are weather-related. However, it does not explicitly exclude or contrast with any alternative, so it falls short of a 5.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus other data tools like forex_oracle or data_feeds. It mentions a cost but does not indicate prerequisites, context, or scenarios where it is preferable. The 'when to use' aspect is entirely absent.

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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