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sanhao-global-experts

funnel-analyze-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use funnel analyze tool workflow - no prompt engineering needed. Ships as a full prompt kit with step-by-step instructions and a 30-day support promise.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, yet it never says whether the tool is read-only or mutating, what it returns, or what the "30-day support promise" means operationally. "Instantly generate a ready-to-use workflow" hints at a generation action but leaves the side effects, auth needs, and output form entirely undisclosed.

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?

All three sentences are promotional filler ("no prompt engineering needed", "30-day support promise") that consume the entire budget without conveying capability. The only substantive phrase, "funnel analyze tool workflow", is not front-loaded with any operational detail.

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?

This is a simple one-optional-parameter tool with no output schema, so the description could easily be complete, but it says nothing about what the tool returns or how the query affects results. Given the crowded funnel-* sibling family, the missing differentiation is a real gap.

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% for the single optional "query" parameter, so the schema already explains it and the baseline of 3 applies. The description adds no meaning beyond that — it never mentions how a query scopes or changes the analysis.

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 text restates the tool name ("funnel analyze tool workflow") inside a marketing pitch without stating a concrete verb+resource or what the tool actually produces. "Restaurant & brand intelligence pack" and "prompt kit" describe packaging, not function, so an agent cannot infer the operation from this.

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

Usage Guidelines1/5

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

There is no when-to-use guidance at all and no mention of the four sibling tools (funnel-board-tool, funnel-diag-tool, funnel-formula-tool, funnel-tpl-tool) that share the same funnel-analysis space. Nothing tells an agent why it would pick this over any of them.

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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