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sanhao-global-experts

qt-case-gen-tool

A production-ready case gen tool system for marketing and operations leaders. Get a structured, repeatable workflow you can run today - delivered as a copy-paste prompt pack with examples.

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 provided, so the description carries the full burden, and it discloses almost nothing about behavior — no indication of side effects, prerequisites, or how the optional query changes the output. The one useful signal is that output arrives as a 'prompt pack with examples' rather than an executed action, but that is a fragment, not a behavioral profile.

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?

Only two sentences, but they are dominated by filler ('production-ready', 'structured, repeatable workflow', 'you can run today') that conveys no operational meaning. The limited space is spent on marketing positioning rather than on the specifics an agent needs.

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?

With no annotations, no output schema, and a vague one-line purpose, the definition leaves an agent unable to predict what it will receive or when to prefer it over qt-case-helper-tool. For a tool that returns a 'prompt pack', the absence of any description of that artifact's shape 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?

There is a single optional parameter with 100% schema description coverage ('Optional user query to scope the analysis'), so the schema already does the work and a baseline 3 applies. The description adds nothing about how the query scopes the output or what happens when it is omitted.

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 essentially restates the name ('case gen tool system') without ever saying what a 'case' is — a test case, a business case, or a case study — or what generating one produces. It also fails to distinguish itself from close siblings qt-case-helper-tool and qt-script-gen-tool. The only concrete detail, 'copy-paste prompt pack with examples', describes packaging rather than the operation.

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 reference to the sibling qt-case-helper-tool that an agent would need to choose between them. The stated audience ('marketing and operations leaders') is actively unhelpful for what appears to be a QA/test tool, and 'run today' is promotional rather than directional.

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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