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check_now

This-session snapshot only — no watch, no cursor. Use when you will not come back. Required by type: url/rss/x402 need url; price needs coin plus above, below, or move_pct_24h; edgar needs ticker or cik. 8-K items are decoded, Form 4 trades parsed, and x402 probes validate the unpaid 402 challenge without sending payment. If the job spans runs, create_watch instead and persist watch_id + key. Costs $0.001 USDC per call via x402 (Base) — no API key, no account. Calling without payment returns 402 with the payment requirements. Free alternative: GET https://longwatch.dev/demo for a free NVDA Form 4 sample, or POST https://longwatch.dev/try for a 24h watch — no wallet needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cikNoedgar: SEC CIK, as an alternative to ticker
urlNourl|rss|x402: public URL
bodyNo
coinNoprice: CoinGecko id, e.g. 'bitcoin'
typeYessource type
aboveNoprice: threshold to compare against
belowNoprice: threshold to compare against
formsNoedgar: form filter, e.g. ["8-K","4"]
methodNo
tickerNoedgar: stock ticker, e.g. 'NVDA'
move_pct_24hNoprice: 24h move threshold to compare against
expected_schemeNo
expected_networkNo
expected_amount_atomicNo

TDQS

A4.5/5.0
Behavior5/5

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

With no annotations provided, the description fully carries the behavioral burden and does so thoroughly. It discloses session-only scope, the $0.001 USDC cost via x402, no API key/account requirement, the 402 response when unpaid, and per-type parsing behavior such as 8-K decoding and Form 4 parsing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is dense and front-loads the most important constraint (session-only) before other operational details. Every sentence carries useful information, though it is a single block of text that could benefit from more visual structure.

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 14-parameter tool with no output schema and no annotations, the description covers the most critical operational facts: type-specific required fields, cost, payment behavior, and alternatives. It omits context for body, method, and the expected_* payment parameters, and the response format is only hinted at, so it is not fully complete.

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?

The description adds critical cross-parameter constraints not present in the schema, such as 'price needs coin plus above, below, or move_pct_24h' and 'edgar needs ticker or cik.' These are essential for valid invocation. However, several parameters (body, method, expected_scheme, expected_network, expected_amount_atomic) remain unexplained in both the schema and the description.

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 performs a one-time snapshot check of a source, explicitly contrasting it with persistent watch behavior. It enumerates the supported source types and distinguishes itself from create_watch and watch_* siblings by saying 'no watch, no cursor' and 'Use when you will not come back.'

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?

It gives an explicit usage condition ('Use when you will not come back') and a direct alternative ('If the job spans runs, create_watch instead'). It also points to free trial endpoints. However, it does not explicitly explain when to prefer the specialized check_* sibling tools over this generic check_now.

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

A3.7/5.0
Disambiguation4/5

Most tools are clearly separated into immediate check_* and persistent watch_* counterparts across distinct source types, plus lifecycle tools for creating, polling, and deleting watches. The generic check_now and create_watch overlap somewhat with the specialized check_*/watch_* tools, but the descriptions clarify session vs. persistent usage.

Naming Consistency4/5

The check_<source>/watch_<source> pairing is consistent across all six monitored source types, and lifecycle tools use predictable verb-based names like create_watch, delete_watch, poll_alerts, and try_watch. Minor deviations like check_now and create_watch rather than watch_create break the pattern slightly, but the overall convention remains legible.

Tool Count4/5

Eighteen tools is on the heavier side, but the count is justified by six source types each having both a check and watch mode, plus lifecycle operations. The generic check_now and create_watch add redundancy with the specialized tools, making the set slightly larger than strictly necessary.

Completeness3/5

The server covers immediate checks, persistent watches, trial watches, polling, and deletion, so the main monitoring workflow is present. However, there is no update_watch, list_watches, or get_watch status tool, so agents cannot modify or enumerate existing watches and must delete/recreate instead.

Resources