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sanhao-global-experts

gaokao-major-planner

Turn expertise into output. This gaokao major planner 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

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 must carry the full behavioral burden. It says the pack includes a prompt, usage guide, and edge-case handling, but does not disclose what invoking the tool actually does, what it returns, whether it is read-only, or how the prompt pack is applied.

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?

The description is short but poorly front-loaded, opening with a generic slogan and including an irrelevant audience reference to 'restaurant and brand teams.' Those sentences do not earn their place and distract from the gaokao context.

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?

For a prompt-pack tool with no output schema, the description should clarify what the planner covers and what the agent should expect. Instead it provides generic marketing claims and a mismatched audience, leaving the agent without enough context to invoke it 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% for the single optional query parameter, so the schema already documents its meaning. The description adds no parameter-specific guidance beyond that, which meets the baseline for high schema coverage.

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: 'This gaokao major planner prompt pack.' The opening tagline 'Turn expertise into output' is generic, and the claim that it helps 'restaurant and brand teams' is unrelated to gaokao major planning, making the intended purpose less clear rather than more.

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 guidance on when to use this tool, when not to use it, or which sibling tools to prefer. The only usage-like statement, 'produce professional results in minutes,' is marketing language rather than actionable direction.

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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