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sanhao-global-experts

handover-summary-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use handover summary 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

C2.2/5.0
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 behavioral burden and largely fails it. It never states whether the tool is read-only, what it returns, whether output is a document or a prompt kit, or any side effects; the 'ships as a full prompt kit with step-by-step instructions and a 30-day support promise' line is commercial packaging rather than operational 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, of which only a fragment describes the tool's function; the rest is sales copy about prompt kits, instructions, and a support promise. The genuinely useful information is not front-loaded and every sentence past the first fails to earn 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?

With no annotations and no output schema, the description should explain what a handover summary contains and what the tool returns, but it says nothing about the output. For a tool with a single scoping parameter, the description is still too thin for an agent 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?

There is only one optional parameter and schema description coverage is 100%, so the schema already explains that 'query' scopes the analysis. The description adds no meaning beyond that, which is acceptable under the high-coverage baseline but not more than 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 frames itself as an 'AI-powered restaurant & brand intelligence pack' and then says it will 'generate a ready-to-use handover summary tool workflow', which is closer to product marketing than a statement of what the tool does. An agent cannot tell from this whether the tool produces a handover document, a prompt kit, or a workflow plan, nor is it distinguished from the many handover-* 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, when-not-to-use, or alternative-selection guidance. The only contextual claim is 'no prompt engineering needed' and a '30-day support promise', neither of which tells an agent when to call this tool versus handover-write-tool, handover-gen-tool, handover-audit-tool, or the other handover family members.

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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