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Artsy Analytics MCP Server

by damassi

get_partner_audience_stats

get_partner_audience_stats

Retrieve detailed partner audience analytics, including unique visitors, commercial engagement, and geographic insights, by specifying a partner ID and time period. Supports grouped stats for device, referral, and location breakdowns.

Instructions

Get partner audience analytics including unique visitors, commercial visitors, and geographic data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeGroupedStatsNoInclude geographic, device, and referral breakdowns
partnerIdYesPartner ID to get audience analytics for
periodNoTime period for audience dataFOUR_WEEKS
Behavior2/5

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

With no annotations provided, the description carries full burden but only states what data is retrieved without disclosing behavioral traits like authentication requirements, rate limits, data freshness, or response format. It mentions 'analytics including' but doesn't clarify if this is exhaustive or if there are limitations.

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, efficient sentence that front-loads the core purpose. It avoids unnecessary words, though it could be slightly more structured by separating key points. Every part earns its place by specifying the analytics scope.

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?

Given no annotations and no output schema, the description is incomplete for a tool with 3 parameters. It lacks details on behavioral aspects, response format, and doesn't compensate for the missing structured data, making it inadequate for full agent understanding.

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 all parameters well. The description adds no parameter-specific semantics beyond implying that 'partner audience analytics' relates to the partnerId parameter, but it doesn't explain parameter interactions or provide additional context beyond the schema.

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 verb 'Get' and the resource 'partner audience analytics' with specific metrics mentioned (unique visitors, commercial visitors, geographic data). It distinguishes from siblings by focusing on audience analytics rather than activity, sales, or other partner metrics, though it doesn't explicitly name alternatives.

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 like get_partner_visitor_demographics or query_analytics_custom. The description implies usage for audience analytics but offers no explicit when/when-not instructions or comparison with sibling 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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