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Poll a watch for new alerts

poll_alerts

What is new since your last run. Pass since={last seq you saw}; the response carries a new cursor. New paid watches include 7 days of polling. After that window, one $0.005 paid poll renews the next 7 days. Polling keeps the watch alive; beta watches remain free. Free through the watch's included polling window; after that, one $0.005 USDC x402 payment renews 7 days. No API key or account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYeskey returned by create_watch
sinceNohighest alert seq already seen; 0 on first poll
watch_idYeswatch_id returned by create_watch

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It does well by revealing the payment model, the 7-day renewal window, that polling keeps the watch alive, and that no API key or account is required. It does not cover error behavior or exact return payload, but the most important non-obvious behaviors are disclosed.

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

Conciseness3/5

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

The core usage is front-loaded and the structure is logical: what it does, how to pass since, then cost/auth context. However, the paid-poll explanation is repeated several times in slightly different phrasing ('New paid watches include 7 days', 'After that window...', 'Free through...'), which makes the description wordier than necessary.

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 simple three-parameter tool with no output schema and no annotations, the description covers the essential context: required IDs, cursor semantics, cost, renewal, and authentication. It could be more explicit about the format of returned alerts or when to prefer sibling tools, but nothing critical is missing for making a correct call.

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 schema already documents all three parameters, so the baseline is 3. The description adds meaningful guidance for the 'since' parameter by framing it as the last sequence number seen and explaining that the response carries a new cursor. This goes beyond the schema without redundancy.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the operation: polling a watch for new alerts since the last run. It adds concrete semantics with 'since={last seq you saw}' and mentions the response cursor. It does not explicitly differentiate itself from sibling poll_trial, so it stops short of a 5.

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

Usage Guidelines3/5

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

The description implies when to use the tool: you have an existing watch with a known sequence, and you want to fetch what's new since your last poll. It also explains the polling/cost lifecycle, but it never names alternatives or states when not to use this tool versus siblings like poll_trial or 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.

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