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hdbookie

Mercado Pago MCP Server

by hdbookie

get_analytics_dashboard

Retrieve payment analytics and metrics for your chosen period, covering revenue, transactions, conversion rate, average ticket, top customers, and payment methods.

Instructions

Get comprehensive payment analytics and metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoAnalysis periodmonth
metricsNoMetrics to include
Behavior1/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It provides no information about aggregation, default period, return shape, or any side effects. The single vague word 'comprehensive' offers no meaningful behavior.

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 short sentence with no wasted words. It is front-loaded with the action and resource. However, it is slightly too terse for a tool with no other documentation, but as a concise statement it is effective.

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?

For an analytics tool with no output schema and no annotations, this description is quite incomplete. It lacks information about what metrics are returned, how the period interacts with data, and any examples or expected output. The bare-bones statement leaves the agent with insufficient context to invoke correctly in rich scenarios.

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 parameters are already documented with 'Analysis period' and 'Metrics to include'. The description adds no additional semantic context beyond what the schema provides, meeting the baseline for high schema coverage.

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?

The description clearly states the tool gets payment analytics and metrics. However, it does not differentiate from sibling tools like generate_reports or get_payment_methods, making the purpose clear but generic.

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?

No guidance is provided on when to use this tool versus alternatives. The description does not mention appropriate scenarios, exclusions, or suggest any sibling tools for comparison.

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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