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Check every watch

check_my_watches
Read-onlyIdempotent

Use for a routine check of everything the traveler watches (for example a daily scheduled check, or "anything new on my watches?"): what dropped, what rose, new lows and the alerts SlickTrip sent in the last since_hours, with whether each moved price is lower than usual. One call covers every flight, bucket list, hotel and seat watch, from SlickTrip's records; it never runs a new search. For one watch in full, use watch_details.

Input Schema

NameRequiredDescriptionDefault
since_hoursNoHow far back to look, in hours: 24 for a daily check (the default), up to 168.

Output Schema

NameRequiredDescriptionDefault
codeNoOn an error: a machine-readable kind, e.g. unknown_place
noteNoHow to report the check
fieldNoOn unknown_place: which argument (origin, destination, ...)
movedNoWatches that moved or sent an alert: watch, kind, title, now_usd, was_usd, change_usd, lowest_seen, alerts_sent, price_check
statusNook | no_watches, or error | sign_in_required
steadyNoWatches with no move: watch, kind, title, now_usd
messageNoError or sign-in message from the server wrapper
summaryNoCounts: watches, dropped, rose, new_low, alerts_sent, off_sale
since_hoursNoThe window checked, in hours
suggestionsNoOn unknown_place: places to offer the traveler, each with code, name, kind (airport, all airports in the city, nearby airport), city, country
places_assumedNoPlace names this call resolved on its own, e.g. 'Portland = Portland, OR (PDX)'; tell the traveler

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuinely useful behavior: it reads from 'SlickTrip's records' and 'never runs a new search', which tells an agent the call is cheap/instant and won't refresh live prices, and it previews the return content (drops, rises, new lows, sent alerts). Missing only finer traits such as record staleness or result volume.

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 use case and scope are front-loaded before the return summary and the sibling redirect. It is a dense run-on covering many clauses; each is informative, but the parenthetical example phrase could be trimmed without loss.

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 read-only aggregate tool with one optional parameter and an existing output schema, the description covers scope, data source, no-new-search semantics, time window, and the sibling alternative. Nothing an agent needs to invoke it correctly is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and since_hours already carries type, default, min/max and the '24 for a daily check' guidance. The description only reuses 'in the last since_hours' when framing the alert window, adding little beyond the schema, so the baseline 3 applies.

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 verb and resource: 'routine check of everything the traveler watches', then enumerates the covered entity types (flights, bucket lists, hotels, seat watches). It explicitly contrasts with the sibling watch_details for single-watch lookups, so an agent can route without opening either schema.

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?

It names the triggering scenarios ('daily scheduled check', 'anything new on my watches?') and states the alternative: 'For one watch in full, use watch_details.' Both the when and the when-not are spelled out.

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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