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price_alert

Set, check, list, or delete price alerts. Get notified when a product drops below your target price. Actions: 'set' (create alert), 'check' (check current price vs target), 'list' (show all alerts), 'delete' (remove alert).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinNoAmazon ASIN for exact product
queryNoProduct search query
actionNoAction: 'check' (default), 'set', 'list', 'delete'
countryNoCountry code (default: DE)
target_priceNoTarget price to alert on (required for action='set')

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It does disclose the core behavior (notifications on price drops) and action semantics, but omits details like persistence, delivery method, permission requirements, or side effects of set/delete. This is partial transparency, not full.

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 description is reasonably short but contains redundancy: the first sentence lists the same actions in the third sentence. It is front-loaded with the main purpose, but the action list is repeated, making it slightly less efficient than it could be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a stateful tool (set/delete alerts) with no output schema and no annotations. The description does not explain what the tool returns (e.g., check results, list format, success/failure), nor does it clarify the relationship between asin and query or country behavior. It is incomplete for an agent to invoke confidently.

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%, so the baseline is 3. The description adds no new parameter meaning beyond the schema; it repeats some action-related info but does not clarify how asin/query interact, default values, or formatting. It neither improves nor harms the schema's clarity.

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 states the tool manages price alerts with specific actions (set, check, list, delete) and the alert trigger (product drops below target price). It does not explicitly differentiate from sibling tools like track_price or stock_monitor, so it stops short of full sibling distinction.

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 lists what actions can be performed but gives no guidance on when to choose this tool over alternatives, nor does it mention prerequisites or exclusions. Usage is implied by the action names, but there is no explicit context 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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