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sanhao-global-experts

flow-tpl-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use flow tpl 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?

No annotations are supplied, so the description carries the full behavioral burden, and it largely fails: nothing about what is returned, whether the call is idempotent, whether a template is created or merely rendered, or what the 'support promise' means operationally. The claim that it 'ships as a full prompt kit with step-by-step instructions' is the only hint at output shape, and it is marketing framing rather than a usable disclosure.

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?

Three short sentences, but most of the content is sales copy — 'AI-powered', 'no prompt engineering needed', '30-day support promise' — none of which helps an agent decide or invoke. The one potentially useful clause (prompt kit with step-by-step instructions) is buried after the fluff instead of front-loaded.

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 schema is trivial (one optional string, no output schema, no annotations), so the description is the only place distinguishing behavior could be encoded — and it does not. For a template-generator whose main risk is being confused with the other flow template/writer siblings, the definition leaves the agent without enough to call it correctly or confidently.

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% and the single optional 'query' parameter is documented as 'Optional user query to scope the analysis,' so the schema does the work. The description adds nothing about the parameter (format, length, effect on output), which meets the baseline but no more.

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?

"Instantly generate a ready-to-use flow tpl tool workflow" restates the tool name rather than stating a concrete verb and resource; 'flow tpl tool workflow' is circular. The only real signal is the domain claim 'restaurant & brand intelligence pack,' which does not distinguish this tool from flow-gen-tool, flow-write-tool, flow-audit-tool, or the other ~1,000 siblings in the flow-* family.

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, no when-not-to-use, and no named alternative. The text is promotional ('no prompt engineering needed', '30-day support promise') rather than operational, so an agent has no basis for choosing this over flow-gen-tool or flow-tpl-tool siblings from other domains.

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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