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sanhao-global-experts

handover-polish-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use handover polish tool workflow - no prompt engineering needed. Ships as a full prompt kit with step-by-step instructions and a 30-day support promise.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not what 'polish' does to the input, whether it mutates or returns text, what the output looks like, or any limits. Instead it spends its words on a '30-day support promise' and 'step-by-step instructions', which are commercial terms, not tool 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?

Three sentences, none of which front-load what the tool does; the opening line is category branding and the closing line is a support promise. The text is short but almost entirely non-functional, so nothing is gained from its brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description is the only source of behavioral information, and it omits the core facts: what input it expects beyond an optional query, what a polished handover looks like, and how it relates to the nine sibling handover-* tools. The definition is not sufficient to invoke the tool correctly.

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 explains its meaning and the baseline of 3 applies. The description adds no additional meaning about how the query scopes the analysis, but it also does not contradict the schema.

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 for the tool itself; 'handover polish tool workflow' merely restates the name, wrapped in marketing copy about an 'AI-powered restaurant & brand intelligence pack' and a 'prompt kit'. An agent cannot tell from this text whether the tool polishes a handover document, generates a workflow, or sells a product bundle, nor how it differs from handover-rewrite-tool or handover-summary-tool.

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 prerequisites, and no mention of the other handover-* siblings that share this namespace. 'No prompt engineering needed' is a sales claim rather than a selection rule, so the agent is left to infer the use case entirely from the tool name.

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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