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sanhao-global-experts

qt-script-helper-tool

Turn expertise into output. This script helper tool prompt pack helps restaurant and brand teams produce professional results in minutes. Includes the complete prompt, usage guide, and edge-case handling.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.8/5.0
Behavior1/5

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

No annotations are supplied, so the description carries the full burden and discloses nothing: it does not say whether the tool is read-only, whether it returns a prompt template or generated content, whether it writes anything, or what happens with the "edge-case handling" it advertises. The mention of an included "complete prompt, usage guide, and edge-case handling" hints at delivered artifacts but never explains their form.

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 they are promotional filler rather than orientation; nothing useful is front-loaded because the first sentence conveys no actionable information. The length is fine, the content is not.

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?

Without annotations or an output schema, and given a crowded sibling namespace where gen/helper variants exist, the description would need to explain the tool's role and result. It does neither, leaving an agent unable to decide whether to call this or qt-script-gen-tool.

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?

With only one optional parameter and 100% schema description coverage, the schema already defines 'query' as an optional scoping string, so the baseline of 3 applies. The description adds no meaning about how the query influences the output.

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 never states a concrete action or resource; "Turn expertise into output" and "script helper tool prompt pack" only rephrase the tool name in marketing language. It does not distinguish this helper from its obvious siblings (qt-script-gen-tool, qt-bug-helper-tool, qt-case-helper-tool), so an agent cannot tell what output it actually produces.

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 prerequisites, and no mention of any alternative tool. The audience phrase "restaurant and brand teams" is the only scoping hint, and it is too vague to route between the many qt-* siblings.

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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