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Create a standing watch

create_watch

Keep watching a source between agent runs and alert when it changes. Persist watch_id and key; later poll_alerts with since= returns only what you missed. Required by type: url/rss/x402 need url; price needs coin plus a threshold; edgar needs ticker or cik. Create includes the baseline and 7 days of polling. Costs $0.005 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 to watch
bodyNo
coinNoprice: CoinGecko id, e.g. 'bitcoin'
typeYeswatch type
aboveNoprice: alert when USD price crosses above this
belowNoprice: alert when USD price crosses below this
formsNoedgar: form filter, e.g. ["8-K","4"]
methodNo
tickerNoedgar: stock ticker, e.g. 'NVDA'
webhookNooptional: POST alerts to this URL as they occur (signed); polling still works
move_pct_24hNoprice: alert when |24h change| exceeds this percent
expected_schemeNo
idempotency_keyNounique retry key; the same key and input return the original watch without charging twice
expected_networkNo
expected_amount_atomicNo

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, and it does so thoroughly. It discloses the cost per call, the fact that no API key or account is needed, the 402 response for missing payment, the inclusion of a baseline and 7 days of polling, and the need to persist watch_id and key for later polling. This is far beyond the average tool description and gives the agent a realistic picture of side effects and prerequisites.

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 long but every sentence carries distinct, high-value information: core behavior, persistence model, type requirements, payment model, and free alternatives. The most important usage constraint is front-loaded, and the payment/error behavior is placed precisely where it matters. No filler is present.

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?

Given the tool's complexity, 16 parameters, no output schema, and a large sibling set, this description is remarkably complete. It covers what the watch does, how to pay, what happens without payment, how to poll results, which parameters are required per type, and where to go for a free alternative. The only minor missing detail is a fuller return-format description, but the instruction to persist watch_id and key provides enough guidance.

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 69%, and the description adds critical conditional logic that the schema alone lacks: 'url/rss/x402 need url; price needs coin plus a threshold; edgar needs ticker or cik.' This meaningfully helps an agent form valid inputs. It does not enumerate every parameter, but the schema already documents most of them with examples, so the description compensates well for the main ambiguity.

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 a specific, concrete statement: 'Keep watching a source between agent runs and alert when it changes.' This names a clear verb, resource, and standing behavior that distinguishes create_watch from the check_* siblings, which are one-off checks. It also positions itself relative to poll_alerts and the free trial endpoints.

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 strong guidance on when to use this tool: for persistent watching between runs, with type-specific requirements spelled out. It also names a free alternative for demos and 24-hour trials, which helps an agent decide not to call create_watch when a wallet-free option is acceptable. It stops short of explicitly enumerating when-not cases, such as 'use check_* for a one-time immediate check,' so it misses full 5-level explicitness.

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