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Suriya-Ravichandran

Amazon India Product Research MCP

analyze_competition

Analyze Amazon India competition for a keyword to uncover market gaps, weak listings, and differentiation opportunities.

Instructions

Analyse the Amazon India competitive landscape for a keyword: competition level, price and rating averages, review barrier, brand dominance, listing and image quality, weak listings, and bundle / differentiation / keyword opportunities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes
marketplaceNoamazon.in
max_competitorsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes what the tool analyzes but does not mention whether it is read-only, data source, latency, or limitations. For an analysis tool, it is likely safe, but the description lacks explicit safety or operational context. It does not contradict annotations (since none exist) and adds functional detail, but not behavioral depth.

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?

The description is a single sentence with a colon and a list. It front-loads the primary purpose and enumerates features concisely. While the list is long, it is efficient and each item earns its place. No fluff or repetition.

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?

The tool is moderately complex with three parameters and an output schema. The description provides a solid overview of what is returned (the list of analyzed aspects), which complements the output schema. It lacks explicit notes on data source or limitations, but given the output schema exists and the description covers the core functionality, it is reasonably complete.

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 0%, so the description must compensate. It clarifies 'keyword' (the focus) and implicitly 'marketplace' (Amazon India) from the domain, but does not describe 'max_competitors'. The description adds some meaning for two of three parameters but leaves one undocumented. It partially compensates for the low coverage but not fully.

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 clearly states the verb 'Analyse', the resource 'Amazon India competitive landscape for a keyword', and enumerates specific outputs (competition level, price/rating averages, review barrier, brand dominance, listing/image quality, weak listings, opportunities). This is specific and distinguishes it from siblings like 'analyze_competitors', which is broader and does not mention Amazon India or keyword focus.

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 description implies usage: it is for analyzing a keyword's competitive landscape on Amazon India. However, it does not explicitly state when to use this tool over siblings like 'analyze_competitors' or 'find_product_opportunities', nor does it mention exclusions or prerequisites. The context is clear but lacks explicit routing 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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