Skip to main content
Glama
T-Campbell18

Mixpanel MCP Server

by T-Campbell18

query_events

Analyze event data over time with segmentation by properties to identify trends and patterns in user behavior.

Instructions

Query event data with segmentation. Returns time-series event counts, optionally segmented by a property.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventYesEvent name to query
from_dateYesStart date (YYYY-MM-DD)
to_dateYesEnd date (YYYY-MM-DD)
onNoProperty to segment by (e.g. "properties[\"$browser\"]")
unitNoTime unit for bucketing (default: day)
whereNoFilter expression
limitNoMax number of segments to return
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. It mentions returns time-series event counts with optional segmentation, but doesn't describe pagination behavior, rate limits, authentication requirements, error conditions, or what happens with large date ranges. For a query tool with 7 parameters, this is insufficient.

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 perfectly concise - a single sentence that efficiently communicates the core functionality. It's front-loaded with the main purpose and includes the key optional feature (segmentation) without any wasted words.

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 query tool with 7 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain the return format, error handling, performance characteristics, or how it differs from similar query tools in the sibling set. The agent would struggle to use this effectively without trial and error.

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 7 parameters thoroughly. The description adds minimal value beyond the schema - it mentions segmentation which relates to the 'on' parameter, but doesn't provide additional context about parameter interactions or usage patterns.

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's purpose: query event data with segmentation and return time-series event counts. It specifies the verb 'query' and resource 'event data', but doesn't explicitly differentiate from siblings like 'query_insights' or 'top_events' which might have overlapping functionality.

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 multiple query-related siblings (query_funnels, query_insights, query_profiles, query_retention), there's no indication of what makes this tool distinct or when it's the appropriate choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/T-Campbell18/mcp-mixpanel'

If you have feedback or need assistance with the MCP directory API, please join our Discord server