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Update price alert

update_price_alert
Idempotent

Update a price alert. You can switch to threshold-free notify_on_drop / notify_on_rise, change thresholds, or toggle is_active. At least one setting must remain. Requires a Pricewatcha API key (pwk_live_...) from https://pricewatcha.com/en/developers#api-keys. On failure, returns a structured error object with fields error.code, error.message, error.http_status, error.retry_recommended, and error.retry_after_seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
api_keyYesPricewatcha API key (pwk_live_...)
alert_idYesAlert ID to update
is_activeNo
webhook_urlNo
notify_emailNo
notify_on_dropNoNotify on any price drop. No threshold required.
notify_on_riseNoNotify on any price increase. No threshold required.
max_threshold_priceNoMax threshold, or null to clear.
min_threshold_priceNoMin threshold, or null to clear.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
alert_idYes
currencyYes
is_activeYes
created_atYes
product_idYes
updated_atYes
webhook_urlNo
notify_emailYes
notify_on_dropYes
notify_on_riseYes
last_triggered_atNo
max_threshold_priceNo
min_threshold_priceNo

TDQS

A4.7/5.0
Behavior5/5

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

The description does not contradict the annotations (readOnlyHint=false, idempotentHint=true, destructiveHint=false); it adds meaningful behavior: updates require at least one setting to remain, calls require a Pricewatcha API key with a linked developer URL, and failures return a structured error object with specific fields. This goes well beyond the structured annotations and is genuinely useful for an agent invoking the tool.

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 compact and front-loaded: 'Update a price alert' appears first, followed by the specific behaviors, the invariant, and then auth/error details. Every sentence contributes concrete information; there is no repetition of schema field definitions or boilerplate.

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 has 10 parameters, a mutation operation, an output schema, and annotations, the description covers the key non-obvious aspects: allowed operation, the 'at least one setting must remain' constraint, API key authentication, and the exact error object shape. Success return behavior is not described but the presence of an output schema makes that acceptable. This is a complete update-tool description.

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 important semantic meaning not obvious from the schema: notify_on_drop and notify_on_rise are threshold-free booleans, thresholds can be updated, and is_active can be toggled. It also clarifies that an update must leave at least one setting. With 60% schema coverage, this compensation is valuable, though a few optional parameters like webhook_url and notify_email are not described further.

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 identifies the exact action and resource: 'Update a price alert.' It then enumerates the supported mutation types — switching to threshold-free notify_on_drop/notify_on_rise, changing thresholds, and toggling is_active — which makes the tool clearly distinguishable from create_price_alert, get_price_alert, list_price_alerts, and delete_price_alert.

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 makes it clear this tool is for updating an existing alert and lists the kinds of allowed changes, so an agent can match it to an update intent. It does not explicitly name sibling tools as alternatives or state 'for creation use create_price_alert', although the constraint 'At least one setting must remain' provides a useful boundary. The context is clear enough, but not fully explicit.

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

A4.2/5.0
Disambiguation5/5

Each tool clearly maps to a distinct resource and action: price alert CRUD verbs (create/get/list/update/delete) are unambiguous, and get_api_status vs get_job_status are separated by scope (service health vs async job polling). track_product, search_products, get_product, and get_price_history each address a different part of the product workflow with no meaningful overlap.

Naming Consistency5/5

All 11 tools follow a consistent verb_noun snake_case pattern: create_price_alert, get_price_history, track_product, list_price_alerts, and so on. Verbs are precise and nouns are stable across the set, making the API surface predictable.

Tool Count5/5

At 11 tools, the server is well-scoped for its purpose: alert management, product search, price history, tracking, and status checks each earn their place. No tool feels redundant or excessive for a price-intelligence domain.

Completeness4/5

The price alert lifecycle is fully covered with create/get/list/update/delete, and product search/tracking/history are solid. A minor gap is the lack of a way to list or stop all tracked products/jobs besides polling a known job_id, but this can be worked around and core workflows are complete.