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cosjef

Keepa MCP Server

by cosjef

keepa_product_lookup

Retrieve comprehensive Amazon product data by ASIN for product research, sales velocity analysis, and competitive intelligence.

Instructions

Look up detailed information for a single Amazon product by ASIN

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinYesAmazon ASIN (product identifier)
daysNoNumber of days of price history to include
domainNoAmazon domain (1=US, 2=UK, 3=DE, etc.)
offersNoNumber of marketplace offers to include
ratingNoInclude product rating data
historyNoInclude full price history
variationsNoInclude product variations
Behavior2/5

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

With no annotations, the description carries the burden of disclosing safety and side effects. It says 'look up' (suggesting read-only) but does not mention potential token consumption, rate limits, error behavior, or details about the response. The vague 'detailed information' leaves much undisclosed.

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?

A single, front-loaded sentence with no filler. It communicates the core purpose effectively and is appropriately concise.

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?

Given 7 parameters, no output schema, and no annotations, the description is too thin. It omits return value details, typical use cases, and any limitations. The agent cannot fully gauge what 'detailed information' includes or how to handle edge cases.

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 baseline is 3. The description adds no parameter-level meaning beyond the schema's existing descriptions, which are already clear.

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 ('look up') and resource ('detailed information for a single Amazon product by ASIN'). It clearly distinguishes from siblings like batch lookup (multiple products) and price history (history only).

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 'single Amazon product' implies the tool is for one ASIN, but there is no explicit guidance on when to use this vs. alternatives like keepa_batch_product_lookup or keepa_price_history. No exclusions or alternative names are mentioned.

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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