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Glama

Weather now, forecast, or alerts

weather

Current conditions for a named place or coordinate. view='forecast' returns the hourly series; view='alerts' returns active severe-weather alerts (US coverage). Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free pricing tool lists every price at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitude (with lon).
lonNoLongitude (with lat).
viewNoWhich weather read to perform.current
hoursNoForecast horizon in hours.
placeNoPlace name — resolved via the built-in gazetteer. Use this or lat+lon.
x_paymentNoOptional signed x402 payment payload (base64, what the X-PAYMENT header carries). Omit to receive the exact payment terms; sign them (e.g. @x402/fetch) and call again with this argument to settle and get the data.

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the paid usage pattern, the two-step payment settlement, and US coverage limitation for alerts. It does not mention rate limits or auth beyond payment, but the disclosed behavior is substantial and goes 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, front-loaded with the core purpose, followed by view details, and then the payment mechanism. Every sentence adds value with no redundancy or fluff.

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 description covers the main functionality, views, payment flow, and an alternative tool. No output schema exists, so return format is unspecified, but for a weather tool the response shape is reasonably inferable. The payment flow is complex and explained well.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds meaningful semantics for the x_payment parameter (explains the payment handshake) and clarifies the view parameter's behavior (forecast series, alerts coverage). This goes beyond the schema's field descriptions.

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 provides current conditions for a named place or coordinate, and specifies that forecast and alerts views are available. This distinguishes it from sibling tools like news or holidays, making the purpose unmistakable.

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

Usage Guidelines5/5

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

The description explicitly explains the payment flow (call without x_payment to receive terms, sign, then call again), mentions US-only coverage for alerts, and points to the free pricing tool as an alternative for listing prices. This gives clear when-to-use and when-not-to-use context.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool serves a clearly distinct function—data discovery, holidays, icons, OCR, news, PDF extraction, pricing, URL reading, data requests, screenshots, timezone, and weather. There is no overlap in purpose; even read_url and screenshot_url differ by output format (markdown vs PNG).

Naming Consistency4/5

All tool names use lowercase snake_case and are readable, but the pattern is not uniformly verb_noun—some are nouns (holidays, news, pricing, timezone, weather) while others are verb_noun (find_data, read_url). This is a minor inconsistency that doesn't impede predictability.

Tool Count5/5

With 12 tools, the server sits comfortably within the ideal 3–15 range. Each tool earns its place covering a distinct web utility, and the count matches the broad but well-defined scope of a general-purpose web toolbox.

Completeness4/5

The tool surface is fairly complete for a general-purpose web utility server, covering common tasks like fetching, extracting, searching, and checking time/weather/holidays, plus meta tools (pricing, request_data). Minor gaps like a generic text summarizer or video tool exist, but nothing critical for the intended purpose.

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