See my sales page funnel
get_checkout_funnelHow many people opened the plan checkout, started and finished it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_checkout_funnelHow many people opened the plan checkout, started and finished it.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds no behavioral context beyond what is in the annotations—no auth requirements, rate limits, or data freshness. With annotations covering the basics, a 3 is appropriate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is efficient and front-loaded with the core metric. It could be slightly more structured (e.g., explicitly stating return format), but it avoids unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of an output schema, the description should ideally explain the return format (e.g., counts per stage, time range, plan scope). It conveys the essence but leaves gaps about the shape and context of the data. For a zero-param read-only metric, it is adequate but not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline score of 4 applies. There are no parameter semantics to clarify, and the description does not need to compensate for missing schema details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific measurement: counts of people who opened, started, and finished the plan checkout. It identifies the resource and the stages, but does not differentiate itself from potential siblings like get_financial_metrics or get_public_profile_stats.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no mention of prerequisites, and no exclusions. The description only states what data it returns, leaving usage implicit.
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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