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sudomichael

Gizmo Analytics

list_funnels

Read-onlyIdempotent

Identify user drop-off points in conversion funnels. Lists each funnel step with reached counts and drop-off rates, highlighting the biggest drop opportunity.

Instructions

ANSWER FIRST for 'where are users dropping off?', 'show me the funnel', 'how's my signup flow doing?', 'what's my conversion funnel?'. Lists every funnel defined for a site with per-step reached counts + drop-off rate between steps. Surface the biggest drop as the headline — that's usually where the opportunity is. Pair with create_funnel first if the user hasn't defined any funnels yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_idYesInternal site UUID for the target site. Get one from list_sites.
date_rangeNoTime window. One of: today, yesterday, last_7_days, last_14_days, last_30_days, last_90_days. Defaults to last_7_days.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
funnelsYesFunnels with per-step reached counts and drop-off rates.
Behavior4/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds value by detailing return content (per-step counts, drop-off rate) and highlighting the biggest drop, but does not contradict annotations.

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?

Description is moderately long but well-structured: starts with common questions, states functionality, then hints at output and pairing. Each sentence serves a purpose, though could be slightly more concise.

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?

Given the presence of output schema and thorough annotations, the description covers all necessary context: what is returned, how to get required parameters, and when an alternative workflow is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% so baseline is 3. Description reinforces that site_id comes from list_sites and clarifies the date_range default, adding slight extra value beyond the schema.

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?

Description explicitly states 'Lists every funnel defined for a site with per-step reached counts + drop-off rate' and provides natural language queries that map directly to this tool. Clearly distinguishes from siblings like create_funnel and delete_funnel.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance via example queries and advises to pair with create_funnel if no funnels exist. Also recommends using list_sites to get the site_id parameter.

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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