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sanhao-global-experts

funnel-formula-tool

Save hours every week. This funnel formula tool toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden, yet it only offers 'no setup' and chatbot compatibility. It does not say what the tool actually returns (a prompt template? an analysis? a playbook document?), whether the optional query changes the output, or any limits on use.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the opening 'Save hours every week' is pure advertising that consumes a third of the text without informing tool selection. The remaining sentences are vague rather than front-loaded with what the tool produces.

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

Completeness2/5

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

The tool is simple (one optional param, no output schema), which lowers the bar, but the description still never tells an agent what the invocation yields or how the result should be used. For a prompt/playbook-delivery tool, the output nature is the single most important thing to disclose, and it 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?

There is a single optional parameter whose schema description coverage is 100%, so the schema already explains 'query' as an optional scoping input. The description adds nothing about it, but with full coverage the baseline of 3 applies.

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

Purpose2/5

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

The description mostly restates the name ('funnel formula tool toolkit') and wraps it in marketing language ('battle-tested prompt and operating playbook for restaurant/brand growth'). It hints that the deliverable is a prompt/playbook rather than an analysis, but it never states a concrete verb+resource, and it does nothing to separate itself from close siblings such as funnel-analyze-tool, funnel-diag-tool, funnel-board-tool or funnel-tpl-tool.

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 setup, works in any LLM chatbot' is a compatibility claim, not usage guidance. There is no statement of when to pick this over the other funnel-* tools, no preconditions, and no exclusions. An agent has to guess its role from the name alone.

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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