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sanhao-global-experts

handover-tpl-tool

Turn expertise into output. This handover tpl 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?

With no annotations, the description carries the full burden of behavioral disclosure. It hints at returned content ('complete prompt, usage guide, and edge-case handling') but never states whether the tool is a read-only retrieval or a generation step, whether anything is persisted, or what triggers edge-case handling. Almost nothing beyond marketing claims is disclosed.

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?

Three short sentences, so nothing is bloated, but the front-loaded sentence is a slogan that conveys no operational information. The content that could matter (what the pack contains) is buried in the final clause.

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 zero-required-parameter tool with no output schema and no annotations, the description should explain what invoking it produces and how the optional query changes results. Instead it repeats promotional phrasing, leaving the agent unable to predict the response.

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% and there is only one optional parameter, so the schema already explains 'query'. The description adds no meaning about how the query scopes the handover analysis, 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 opens with a slogan ('Turn expertise into output') rather than a verb+resource statement, and the only concrete noun phrase is 'handover tpl tool prompt pack', which essentially restates the tool name. An agent cannot tell from this whether the tool generates a document, fills a template, or returns a static prompt bundle, nor how it differs from handover-write-tool, handover-gen-tool, or any other *-tpl-tool sibling.

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?

The target audience ('restaurant and brand teams') is named, but there is no statement of when to pick this tool over the many handover-* siblings or over other tpl tools. No prerequisites, no exclusions, no alternative named.

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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