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List price alerts

list_price_alerts
Read-onlyIdempotent

List your price alerts. Optionally filter by product_id. 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_...)
product_idNoOptional public product ID filter

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
alertsYes

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, and non-destructive behavior. The description adds useful behavior beyond those annotations by explaining the API key requirement and detailing the structured error fields returned on failure.

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 description starts with the core purpose and then adds filter, auth, and error details. The error field enumeration is verbose but justified because it describes a non-obvious structured error behavior.

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 two-parameter read-only listing tool with a full output schema, the description is sufficiently complete: it covers purpose, optional filtering, authentication source, and failure behavior. No critical details for tool selection or invocation are missing.

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 the schema already documents api_key and product_id. The description only restates the optional product_id filter and the API key requirement without adding new semantic detail.

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 states a clear action and resource: 'List your price alerts' with an optional product_id filter. However, it does not explicitly distinguish itself from the sibling get_price_alert, so the differentiation is only implicit in the word 'list.'

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

Usage Guidelines2/5

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

The description explains what the tool does but not when to prefer it over alternatives such as get_price_alert, which likely retrieves a single alert. The optional filter hint gives some context, but there is no when-to-use or when-not-to-use guidance.

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.