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sanhao-global-experts

boss-decision-tool

Turn expertise into output. This boss decision 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

C2.3/5.0
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 burden and does not meet it. 'Includes the complete prompt, usage guide, and edge-case handling' hints that the return value is a prompt-pack artifact, but it never says what the agent receives, how the optional query changes the output, or whether anything is generated versus retrieved.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is brief and front-loaded, but the opening sentence is pure promotion that carries no information an agent can act on. The informative content ('prompt pack', audience, included materials) is compressed into the same sentence as the filler.

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 output schema and no annotations, the description should explain what the tool produces and how the optional query affects it; it does neither. For a tool that appears to hand back a prompt pack, an agent cannot tell what to expect from a call.

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 coverage is 100% and the single parameter 'query' is already documented as an optional scoping string in the schema. The description adds no additional meaning about what 'scoping the analysis' means or what happens when the query is omitted, so the baseline 3 applies.

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 leans on marketing phrasing ('Turn expertise into output', 'produce professional results in minutes') rather than a concrete verb+resource. Only the audience hint ('restaurant and brand teams') and the phrase 'prompt pack' give any signal of what the tool actually does, and nothing distinguishes it from the many adjacent prompt-pack siblings such as boss-report or boss-drama-template.

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 statement of when to invoke this tool, when to prefer a sibling like boss-report or liancan-counselor, or what inputs make it appropriate. The audience reference implies a context but provides no actionable selection guidance.

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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