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Delete price alert

delete_price_alert
DestructiveIdempotent

Delete a price alert. 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
api_keyYesPricewatcha API key (pwk_live_...)
alert_idYesAlert ID to delete

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
deletedYes
alert_idYes

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already convey destructiveHint=true and readOnly=false, so the description does not need to restate that this deletes data. It adds useful behavioral detail beyond annotations by requiring a live API key and by documenting the structured error object returned on failure, including error.code, error.message, error.http_status, error.retry_recommended, and error.retry_after_seconds.

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 three sentences and every sentence earns its place: the operation, the authentication prerequisite with source URL, and the error contract. It is front-loaded with the verb and resource, and contains no filler or redundant restatement of the schema.

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 two-parameter destructive tool with annotations, a complete schema, and an output schema, the description is nearly sufficient. It covers the required API key, where to get it, and exactly what error information is sent back on failure. The only absence is explicit guidance about choosing this tool over alternatives, and minor wording about the successful result could be added.

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 description coverage is 100%, so api_key and alert_id are already documented in the input schema. The description adds the developer URL for obtaining the API key but gives no additional semantics for alert_id beyond 'Alert ID to delete', which is adequate but not rich given the baseline.

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 opens with 'Delete a price alert', a clear verb+resource statement that distinguishes this tool from siblings like create_price_alert, update_price_alert, and list_price_alerts. It does not expand much beyond the title, but the verb is unambiguous and correctly implies destructive action.

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 gives a concrete prerequisite: a Pricewatcha API key (pwk_live_...) is required and the URL for obtaining it is included. However, it does not state when to choose delete_price_alert over the alternative update_price_alert or list_price_alerts, so the tool-selection guidance is mostly implicit.

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.