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Professor Sausages — Web & Documents

Market calendars & settlement dates

holidays

Is a market open on a date, and why not if it isn't. view='next_session' finds the next open day; view='settle' computes a T+N settlement date skipping weekends and holidays; view='business_days' counts open sessions in a range; view='year' lists a calendar's whole year. 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
toNoRange end (view='business_days').
dateNoReference date (YYYY-MM-DD).
daysNoN in T+N (view='settle').
fromNoRange start (view='business_days').
viewNoWhich calendar question to answer.is_open
yearNoCalendar year (view='year').
marketNoWhich calendar to use.nyse
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

A4.7/5.0
Behavior4/5

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

With no annotations provided, the description carries full behavioral disclosure. It transparently explains the two-step payment requirement and details what each view computes, including 'skipping weekends and holidays' for settle. It does not cover return formats or error handling, but the key behavioral traits are clearly stated.

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 front-loaded with the primary purpose, then condenses view behaviors into a single semicolon-separated sentence, followed by the payment flow and a pointer to a free sibling. Every sentence contributes unique information with no redundancy, making it both concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 8 parameters and a payment gate, the description covers all views, the payment two-step, and the free alternative. While no output schema exists, an agent receives sufficient guidance to select the correct view and invoke the tool correctly, including how to handle the paid flow.

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%, setting baseline 3. The description adds relational semantics by connecting parameters to views (e.g., `days` as N in T+N for settle, from/to for business_days, year for year, date for is_open). This integration goes beyond the static schema descriptions, which already partially reference views, by clarifying how the parameters interact and what the view outputs mean.

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 opens with 'Is a market open on a date, and why not if it isn't,' clearly stating the tool's core purpose. It then enumerates the four views (next_session, settle, business_days, year) with specific outputs, making it distinct from siblings like `pricing` which is explicitly called out as the pricing tool.

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 points users to the `pricing` tool for price listings ('The free `pricing` tool lists every price at once'), providing a direct alternative. It also gives a step-by-step payment workflow (call without x_payment, sign terms, call again with x_payment), telling the agent exactly how to proceed for paid access.

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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