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Suriya-Ravichandran

Amazon India Product Research MCP

analyze_competitors

Estimates units, revenue, market share, and concentration for Amazon India competitors; flags low-review new sellers and those above a monthly sales bar; issues entry verdict.

Instructions

Profile every competitor for a keyword on Amazon India: estimated monthly units and revenue, market share, market size and concentration. Flags which competitors are NEW sellers (low review count - proof a newcomer can rank) and which clear a minimum monthly sales bar (300 units by default), then gives an entry verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYes
marketplaceNoamazon.in
max_competitorsNo
min_monthly_unitsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Without annotations, the description takes responsibility for explaining behavior. It reveals the heuristic for identifying NEW sellers (low review count), the default sales threshold (300 units), and the output of an entry verdict. It doesn't disclose side effects and has a minor default-value discrepancy, but it goes beyond a vague promise.

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?

Three sentences with no fluff; the first sentence fronts the core action and key outputs, the second and third add necessary context about flags and the verdict. The description is dense but well-paced, though it could potentially be tightened.

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?

For a tool with four parameters and an output schema, the description covers the key behaviors: what it profiles, the metrics, the flags, and the verdict. It omits explanation of `max_competitors` and has the default-value discrepancy, but the presence of an output schema reduces the burden. Overall, it's sufficiently complete for an agent to know when and how to invoke it.

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?

The description adds meaning to `min_monthly_units` by explaining what the threshold is and its default, and to `marketplace` by specifying Amazon India. However, it says nothing about `max_competitors` or `keyword` beyond what the schema provides. With 0% schema coverage, this partial compensation yields a mid-score.

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?

Describes a specific resource (competitors for a keyword on Amazon India) with active verbs like 'Profile', 'Flags', and 'gives'. However, it does not distinguish itself from the sibling 'analyze_competition', so it misses the top mark.

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?

Provides clear context for when to use this tool (competitor analysis for a keyword) but never mentions alternatives or exclusions. The usage is implied by the scenario, meeting the 'implied usage' bar.

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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