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get_product_metrics

Read-onlyIdempotent

Price and Best Seller Rank series for an ASIN. Points are from scheduled checks.

Input Schema

NameRequiredDescriptionDefault
asinYesAmazon ASIN, 10 letters or digits.
date_toNoEnd date YYYY-MM-DD in the account timezone. Default is today.
date_fromNoStart date YYYY-MM-DD in the account timezone. Default is the start of the plan history window.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false, so safety is covered. The line 'Points are from scheduled checks' adds genuinely useful context that the series is sampled periodically, implying sparse or missing points rather than a continuous feed, but it stops short of stating granularity, gap handling, or plan-window limits.

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?

Two short sentences with no waste, and the returned payload is front-loaded. The first sentence is a telegraphic noun phrase rather than a verb-led statement, which costs it the top mark but not much more.

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

Completeness3/5

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

For a three-parameter read tool with full schema coverage and clean annotations, this is nearly adequate, and the description partially compensates for the absent output schema by naming the two returned series. It still leaves the agent unsure about return shape, point units, and how gaps appear, and says nothing about the overlapping get_rank_history sibling.

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 asin, date_from, and date_to are fully documented with defaults and timezone semantics in the schema. The description adds nothing beyond implying a series/date range, which is the correct baseline 3 when the schema carries the burden.

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?

Names the resource and the exact payload: Price and Best Seller Rank series for a given ASIN. That is specific enough to select the tool, but it does not distinguish itself from the sibling get_rank_history (which reads like partial overlap), so the agent gets no help telling the two apart.

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?

There is no when-to-use guidance, no prerequisites, and no named alternative. With get_rank_history and get_product in the sibling list, the absence of any routing sentence leaves the agent to guess which tool to call.

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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