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Artsy Analytics MCP Server

Artsy Analytics MCP Server

by damassi
OverviewSchemaRelated ServersDiscussionsAdmin
TypeScript

get_partner_sales_stats

get_partner_sales_stats

Access sales analytics for Artsy partners, including order count, revenue, and response times, by specifying a partner ID and time period for detailed insights.

Instructions

Get partner sales analytics including order count, revenue, and response times

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "partnerId": "<partnerId>"
    },
    "name": "get_partner_sales_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault
partnerIdYesPartner ID to get sales analytics for
periodNoTime period for sales dataFOUR_WEEKS

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Get' implies a read operation, it doesn't specify authentication requirements, rate limits, data freshness, error conditions, or what happens when invalid parameters are provided. For a tool with no annotation coverage, this leaves significant behavioral gaps.

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?

The description is a single, efficient sentence that immediately states the tool's purpose. Every word contributes meaning - 'partner sales analytics' specifies the domain, and the three metrics provide concrete examples of what's included. There's no wasted verbiage.

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 a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what format the analytics data returns, whether it's aggregated or detailed, how response times are calculated, or any limitations. Given the complexity implied by the sibling tools and lack of structured documentation, more context is needed.

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 schema already documents both parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. The baseline score of 3 reflects adequate parameter documentation through the schema alone.

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 action ('Get') and resource ('partner sales analytics') with specific metrics listed (order count, revenue, response times). It distinguishes from some siblings like 'get_partner_audience_stats' by focusing on sales, but doesn't explicitly differentiate from similar tools like 'get_partner_sales_time_series' or 'get_partner_complete_analytics'.

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?

The description provides no guidance on when to use this tool versus alternatives. With 12 sibling tools including closely related ones like 'get_partner_sales_time_series' and 'get_partner_complete_analytics', there's no indication of when this specific sales analytics tool is appropriate versus those other options.

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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