weather
Get current weather from all Mauritius Met Service stations. Costs $0.001 USDC via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| station | No | Optional station name (e.g. vacoas, plaisance). Omit for all. |
Get current weather from all Mauritius Met Service stations. Costs $0.001 USDC via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| station | No | Optional station name (e.g. vacoas, plaisance). Omit for all. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It reveals that the tool costs $0.001 USDC via x402, which is important non-obvious behavior. However, it lacks details about error handling, rate limits, or response structure, leaving some gaps for a simple tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is incredibly concise, consisting of two short sentences that state the purpose and cost. It is front-loaded with the primary action, and every word adds value with no redundant details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one optional parameter and no output schema, the description covers the essential information: what it does (gets weather) and the cost. The lack of return format details is acceptable given the simplicity, though a bit more context about the response could improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides a comprehensive description of the station parameter, including examples and default behavior (omit for all). The tool description adds no extra meaning beyond the schema, so a baseline score of 3 is appropriate given 100% schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb ('Get') and resource ('current weather from all Mauritius Met Service stations'). It distinguishes itself from sibling tools, which focus on compliance, finance, and other domains, leaving no ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use the tool (to retrieve current weather) and mentions the cost and payment method (x402), which is a usage consideration. It does not explicitly discuss alternatives, but no sibling tool provides weather data, so the guidance is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.