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Mercado Libre Product Research: product Selection API

nexscope_data_mercado_product_selection
Read-only

Mercado Libre Product Research: product Selection API.

Input Schema

NameRequiredDescriptionDefault
toolNameYesOne of 24 Meike multi-tool names, see table below.
argumentsYesThe parameter object of the corresponding tool must be a JSON object and cannot be an array, string or number; the backend will remove `uId`, `uid`, `memberId` and crop empty values.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.6/5.0
Behavior1/5

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

Annotations already state readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered; the description adds no behavioral context whatsoever (no data freshness, coverage, quota, or result shape). It contributes nothing beyond the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler, so nothing is wasted — but the brevity comes from under-specification rather than efficiency. There is no structure, no front-loaded verb, and no actionable detail.

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

Completeness1/5

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

For a nested two-parameter dispatcher over 24 sub-tools with no output schema, the description should at minimum name the sub-tool to invoke and the expected argument shape. It provides none of that, so an agent cannot call it correctly from the definition alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is nominally 100%, but the two parameters are a generic wrapper: 'toolName' is described only as 'One of 24 Meike multi-tool names, see table below' (no table is present) and 'arguments' is a free-form object. The description does not identify which tool name to supply or what arguments that sub-tool requires, leaving the critical dispatch parameter unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a near-verbatim restatement of the title and name ('Mercado Libre Product Research: product Selection API'), with no verb or resource explained beyond the words already in the tool name. It signals the domain (Mercado Libre product research) but an agent still cannot tell what the tool actually returns or how it differs from nexscope_mercado_market_intelligence.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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 mention of the closely related sibling nexscope_mercado_market_intelligence or of the underlying 'product selection' workflow. The agent is given nothing to decide between this and other Mercado Libre tools.

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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