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sanhao-global-experts

cleaning-schedule

Turn expertise into output. This cleaning schedule 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 carries the full burden. It hints that a 'complete prompt, usage guide, and edge-case handling' are included, but does not say whether the tool returns text, a template file, or a generated schedule, nor anything about cost, permissions, or determinism. The phrase 'in minutes' is promotional rather than behavioral.

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 sentence ('Turn expertise into output') and the 'in minutes' claim are pure marketing with no informational value. The only substantive content is buried in the third sentence about what the pack includes, so the description is neither front-loaded nor waste-free.

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 simple one-optional-parameter tool this could be adequate, but with no annotations and no output schema the description must explain what a caller receives and when it applies. It instead repeats promotional copy, leaving the agent without enough context to invoke it correctly versus dozens of similarly named 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 applies. The description adds no meaning about how the query scopes the analysis beyond what the schema already states.

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 identifies the resource ('cleaning schedule prompt pack') but frames the action in marketing terms ('Turn expertise into output', 'produce professional results') rather than stating what the tool actually does when called. An agent cannot tell whether this generates a schedule, returns a stored prompt template, or produces guidance text, and no sibling tool is named to disambiguate.

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 at all. The description never says in which situations to pick this over the many adjacent siblings such as clean-tpl-tool, clean-analyze-tool, or clean-board-tool, nor does it mention prerequisites or exclusions.

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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