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Record a price by hand

price_add_manual

Store a manually read product price when a shop blocks automated fetching. Creates a price watch if the item is new, returns the amount and observation count, and refuses unreadable prices.

Instructions

Call this tool to store a price you read yourself where a shop blocks fetching: it creates the watch if new and returns the amount and the observation count. An unreadable price is refused. Free: 3 watches.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesProduct page URL
labelNoShort name for this item
priceYesPrice as shown, for example 1299.00 or 1.299,00
currencyNoISO code such as USD or EUR

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.20.0

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries full disclosure responsibility. It clearly states side effects (creates the watch if new), return data (amount and observation count), failure behavior (unreadable price refused), and a quota (3 watches). No contradictions.

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?

Two sentences deliver purpose, use case, side effects, failure mode, and quota. Front-loaded with the action, no filler.

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?

Covers usage, side effects, return values, failure mode, and quota. Minor gap: it does not explicitly state whether adding a second price for an existing watch overwrites or creates a new observation, though 'observation count' implies the latter.

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 each parameter already has a description. The tool description adds no direct parameter-level meaning beyond that, which meets the baseline expectation.

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 states a specific action and resource ('store a price') and distinguishes this tool from automatic fetching by saying it is for prices you read yourself when a shop blocks fetching. It also clarifies watch creation behavior.

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?

It gives a clear condition for use: manual entry when the shop blocks fetching. It also states that unreadable prices are refused. It does not explicitly name an alternative sibling, but the context is strong enough.

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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