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?
No annotations are provided, so the description carries the burden. It discloses the $0.001 USDC cost via x402, which is crucial behavioral context, and clarifies data source ('all Mauritius Met Service stations'). However, it does not mention error handling, return format, or read-only nature explicitly, but cost disclosure adds significant value beyond basic functionality.
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 a single, front-loaded sentence that includes both the action and the unique cost context. No redundant information, every word earns its place.
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 simple tool with one optional parameter and no output schema, the description covers the main purpose and cost. However, it does not describe the return structure or units of weather data, which could leave the agent uncertain about what data it will receive. Given the low complexity, this is adequate but not excellent.
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 fully describes the single optional parameter (station) with examples and clear omission behavior. The description adds no new parameter-level detail beyond the scope ('all stations'), so baseline 3 applies.
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?
Specific verb and resource: 'Get current weather' from 'all Mauritius Met Service stations'. It clearly distinguishes from siblings, none of which are weather-related, and omitting the station returns all stations.
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 implies usage for current weather in Mauritius but does not explicitly state when to use this tool versus alternatives or any exclusions. With no weather-related siblings, the context is clear via the description itself, but lacks explicit guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clear distinct purposes, but several compliance screening tools (compliance_wallet, compliance_wallet_entity, compliance_watchlist, due_diligence) overlap partially and could confuse an agent. Country_brief and country_snapshot also have similar scope.
Naming is inconsistent: some tools use a compliance_ or country_ prefix, others use verb_noun (govdata_search, transaction_screen), and some are bare nouns (weather, forex_rates). No single convention is followed.
22 tools is on the heavier side but justified by the broad scope (global sanctions screening, travel rule, monitoring, and Mauritius economic data). The tools cover distinct functional areas, though a few could be consolidated.
Core compliance workflows are covered: screening, risk scoring, monitoring, travel rule, and due diligence. However, the monitoring lifecycle is incomplete (no unsubscribe or list subscriptions), and economic data is only provided for Mauritius, leaving gaps for global country intelligence.