Skip to main content
Glama

Get Funnels

get_funnels
Read-onlyIdempotent

Get funnel conversion data from Mixpanel. Shows step-by-step conversion rates. Example: get_funnels({ funnel_id: "12345", from_date: "2024-01-01", to_date: "2024-01-31", _apiKey: "your_api_secret" })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_apiKeyYesMixpanel API secret (used for Basic auth)
to_dateYesEnd date in YYYY-MM-DD format
from_dateYesStart date in YYYY-MM-DD format
funnel_idYesMixpanel funnel ID (numeric string)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is clear. The description adds that this reads Mixpanel data and returns step-by-step conversion rates, but it does not disclose additional behavioral details such as rate limits, authentication requirements beyond the schema, or pagination.

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 compact and front-loaded, with the purpose stated first and an example afterward. The example is slightly redundant with the schema's own example, but the overall structure is efficient and easy to scan.

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

Completeness4/5

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

Given the strong annotations, complete parameter documentation, and existing output schema, the description provides enough context for an agent to invoke the tool correctly. The main gap is the absence of usage guidance relative to sibling tools, which is already penalized in the usage_guidelines dimension.

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?

All parameters are already documented in the input schema with 100% coverage, including formats and purpose. The example call in the description demonstrates how the parameters fit together but does not add meaning 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 tool gets funnel conversion data from Mixpanel and shows step-by-step conversion rates, so the resource and verb are specific. It does not explicitly distinguish itself from sibling tools like get_events or get_retention, though the funnel-specific wording makes the difference largely inferable.

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 about when to use this tool versus alternatives such as get_events or get_retention. There are no exclusions, prerequisites, or routing hints beyond what the parameters imply.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.