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sanhao-global-experts

aov-board-tool

Turn expertise into output. This aov board 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

C2.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden, yet it only claims the pack 'includes the complete prompt, usage guide, and edge-case handling' without explaining what the tool actually does at invocation, what it returns, or any limits. This reads as marketing copy rather than disclosure of behavior.

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 opening slogan 'Turn expertise into output' is pure filler and pushes the only substantive noun ('aov board tool') into the second clause. Every sentence is promotional rather than informative, so no statement earns its place.

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 tool sitting inside a dense family of AOV variants with no annotations and no output schema, the description should clarify scope and output. Instead it offers generic benefits language, leaving the agent unable to tell what a 'board' produces or how it differs from analyze/diag/formula/tpl siblings.

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?

The single optional 'query' parameter is fully documented in the schema (100% coverage), so the baseline is 3. The description adds no meaning about how the query scopes the board output, so it does not rise above that baseline.

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 verb+resource; it says the tool 'helps restaurant and brand teams produce professional results in minutes,' which describes an outcome, not an operation. It mentions 'aov board tool prompt pack' but does not clarify whether it builds an AOV dashboard, a board report, or a prompt template, nor does it distinguish itself from the numerous aov-analyze-tool, aov-diag-tool, aov-formula-tool, and aov-tpl-tool siblings.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no conditions, and no named alternative among the many AOV siblings. The phrase 'in minutes' implies it is a fast-generation helper, but the agent is left to infer when to pick this over aov-analyze-tool or aov-tpl-tool.

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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