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LinkForty

LinkForty MCP Server

Official
by LinkForty

get_funnel

Retrieve the conversion funnel from clicks to installs and events. Analyze campaign efficiency with metrics like click-to-install rate and time to install.

Instructions

Get the conversion funnel from clicks → installs → events for the workspace. Returns total clicks, unique clicks, total/attributed installs, click-to-install conversion rate, average/median/p75/p95 time to install, and the top converting links. Useful for understanding overall campaign efficiency. Note: requires the analytics:installs permission.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLookback window in days (default 30)
projectIdNoOptional project UUID to filter by
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the required permission ('analytics:installs') and enumerates the return fields. It does not mention read-only nature or rate limits, but the permission and output description add value.

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 three sentences, front-loaded with the main purpose. It is concise and informative without unnecessary words.

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 moderate complexity (2 optional params, no output schema), the description effectively covers the return values and a required permission. It is complete enough for an agent to understand what the tool produces and what it needs.

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 coverage is 100%: both 'days' and 'projectId' have descriptions in the input schema. The tool description does not add additional semantics beyond what the schema already provides, so baseline score of 3 is appropriate.

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 it retrieves a conversion funnel from clicks to installs to events, listing specific metrics returned. This is a specific verb+resource. However, it does not explicitly distinguish from sibling analytics tools like get_link_analytics or get_overview_analytics.

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

Usage Guidelines3/5

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

The description mentions it is 'useful for understanding overall campaign efficiency,' implying usage context. However, it does not specify when not to use this tool or suggest alternatives among the 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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