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shopsavvy

ShopSavvy Data API MCP Server

Official
by shopsavvy

product_schedule

Schedule automatic price checks for products at hourly, daily, or weekly intervals to track price changes over time.

Instructions

Schedule products for automatic price monitoring at regular intervals

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
retailerNoOptional: specific retailer domain to monitor
scheduleYesMonitoring frequency
identifiersYesComma-separated list of product identifiers
Install Server

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral effects, but it only states the action. It does not explain whether scheduling overwrites an existing schedule, whether duplicate schedules are allowed, what validation occurs, or what happens after a schedule is created. For a state-changing tool, this is a significant gap.

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?

One sentence, active voice, and front-loaded with the core action and resource. Every word contributes meaning; there is no redundancy.

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?

The tool has no output schema and no annotations, yet the description does not mention expected result, confirmation behavior, or error handling. While the 100% schema coverage makes parameters invocable, an agent is left without context about what a successful call returns or how existing schedules are affected.

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 input schema already documents identifiers, schedule, and retailer. The description adds no parameter-level details beyond echoing 'regular intervals,' so the baseline of 3 is appropriate.

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 uses a specific verb ('Schedule') plus a resource ('products') and a clear purpose ('automatic price monitoring at regular intervals'). This clearly distinguishes it from siblings like product_lookup, product_offers, product_unschedule, and scheduled_products_list.

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 phrase 'at regular intervals' implies the tool is for recurring monitoring rather than one-off lookups, and sibling names hint at complementary tools for listing or removing schedules. However, the description does not explicitly state when to prefer this tool or name alternatives such as product_unschedule or scheduled_products_list.

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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