weather
Current weather + next 3h temperatures (open-meteo) ($0.001 USDC on Base, x402)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lat | Yes | Latitude -90..90 | |
| lon | Yes | Longitude -180..180 |
Current weather + next 3h temperatures (open-meteo) ($0.001 USDC on Base, x402)
| Name | Required | Description | Default |
|---|---|---|---|
| lat | Yes | Latitude -90..90 | |
| lon | Yes | Longitude -180..180 |
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, the description carries the full behavioral disclosure burden. It discloses useful traits: the data source (open-meteo), the cost ($0.001 USDC on Base), and the payment protocol (x402). However, it does not describe the return format, failure modes, or whether the payment is required before data is returned.
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 compact sentence that front-loads the core output and adds cost and data-source details without waste. Every element contributes necessary information for invoking the tool.
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 two-parameter, read-only weather tool, the description covers what is returned, the data provider, and the cost. It lacks an output schema and does not specify response format, but the core calling context is sufficiently clear.
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?
Schema description coverage is 100%, with lat and lon already documented with ranges. The description adds no parameter-specific meaning beyond the schema, so the baseline of 3 is appropriate.
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 provides current weather and next 3-hour temperatures, using the specific resource 'open-meteo'. Although it lacks an explicit verb like 'get' or 'fetch', the intent is unambiguous and it is immediately distinguishable from the unrelated sibling tools.
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?
No guidance is given about when to use this tool versus alternatives, though no sibling tool appears weather-related. The description does not state prerequisites, such as requiring a network connection or a funded wallet for the $0.001 payment, leaving the agent to infer when this tool is appropriate.
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.
Each tool has a clear, non-overlapping purpose: catalog lists the paid tools, and the others cover distinct utilities like crypto pricing, email deliverability, hashing, JWT decoding, regex, slugify, UUID generation, and weather. Even the three email-related tools are clearly separated by description: deliverability audit, score, and template.
Most tools follow a lowercase snake_case noun_noun pattern (crypto_price, domain_age, email_grade), but catalog and weather are bare nouns, slugify is verb-based, and jwt_decode is object+verb. The pattern is readable despite the inconsistency, but not uniform.
Thirteen tools is within the reasonable range for a paid micro-tool marketplace, and each tool has its own niche. The presence of a meta-catalog tool plus 12 discrete utilities makes the count feel slightly like a grab-bag, but still well-scoped for the stated purpose.
The advertised surface is a catalog of exactly 12 paid tools, and all 12 utilities are present and functional with free preview routes mentioned. There is no obvious missing operation for a stateless utility collection, though the heterogeneous nature of the tools makes completeness less meaningful than for a focused domain server.