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Statable Analytics

list_funnels

Retrieve conversion funnels configured for a site to get funnel IDs and step counts for detailed reporting. Use it to find the right funnel before generating a funnel report.

Instructions

List the conversion funnels configured for a site (discovery — get a funnel_id for funnel_report). Returns {"funnels":[{"id":45,"name":"Signup flow","scope":"visitor","steps_count":3}]}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteNoNumeric site_id (preferred, from list_sites) or a domain, e.g. example.com — scheme, www. and path are ignored when matching. If several sites share the domain the call fails and lists their site_ids. Omit for a single-site key.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

There are no annotations, so the description carries the full burden. It provides an exact sample return shape with field names, which is valuable behavioral transparency. It does not mention auth, errors, or explicit read-only safety, but the verb 'List' and the return sample make the behavior clear.

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 focused sentence plus a compact JSON sample. It front-loads the core action and purpose, and every element adds value without redundancy.

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

Completeness5/5

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

For a simple listing tool with one optional parameter, this is complete: it states scope, purpose, relationship to funnel_report, and the return structure in the absence of an output schema. No critical information is missing.

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 fully documents the 'site' parameter. The description adds only general site context and does not need to repeat parameter details; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('List'), a specific resource ('conversion funnels configured for a site'), and a clear discovery purpose ('get a funnel_id for funnel_report'). This differentiates it from related tools like list_goals and funnel_report.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit usage context: use it to discover funnel IDs before calling funnel_report. It does not enumerate exclusions or compare against alternatives, but for a dedicated list tool this is reasonably clear.

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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