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Professor Sausages — Web & Documents

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

A4.4/5.0
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 x402 payment flow, the US coverage limitation for alerts, and that forecast returns an hourly series. This is significant behavioral context, though it omits details like error handling or units.

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 four sentences, each earning its place. It front-loads the core purpose, then provides necessary detail on views and the payment process, with no 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?

For a tool with no output schema and no annotations, the description covers the main behaviors, payment workflow, and coverage limits. It lacks mention of error cases or units, but overall it is sufficiently complete for an AI agent to use it correctly.

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 meaning beyond the schema by explaining the x_payment flow (omit to get terms, then call again) and clarifying the view options. It does not elaborate on lat/lon or hours, but those are already well-described in the schema.

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 distinguishes its forecast and alerts views. It also differentiates from the sibling `pricing` tool by noting it is free and lists all prices.

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

Usage Guidelines4/5

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

The description gives clear context on when to use the paid feature vs the free `pricing` tool, and explains the two-step payment flow. However, it does not explicitly state when to use weather over other data-related siblings, so not a 5.

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

A4.3/5.0
Disambiguation5/5

Each tool serves a distinct purpose: data search, holidays, icons, OCR, news, PDF extraction, pricing, URL reading, data requests, screenshots, timezone, and weather. No two tools have overlapping scopes, and even similar tools like read_url and screenshot_url are clearly differentiated by their output format.

Naming Consistency3/5

Names are readable and descriptive but follow no single pattern: some are verb_noun (find_data, read_url, request_data), others are noun_verb (icon_search, screenshot_url, pdf_extract), and several are bare nouns (holidays, news, pricing, timezone, weather). This mixing is not chaotic, but it lacks a consistent convention.

Tool Count5/5

Twelve tools is a well-scoped size for a server that fronts a collection of data endpoints and document utilities. Each tool earns its place, covering distinct utilities without redundancy or bloat.

Completeness4/5

The server covers its stated web-and-documents domain well: URL fetching, PDF extraction, OCR, screenshots, plus a variety of data queries and a pricing/request mechanism. Minor gaps exist (e.g., no document creation or editing tools), but for a read/compute-oriented server the surface is comprehensive.

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