Save hours every week. This handover sort tool toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Optional user query to scope the analysis. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations supplied, the description carries the full disclosure burden, yet it says nothing about whether sorting is read-only or mutating, whether results are persisted, what permissions are needed, or what comes back. The only behavioral hints—"save hours every week" and "no setup"—are marketing claims rather than operational traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is short, but every sentence is promotional filler ("Save hours every week," "battle-tested," "works in any LLM chatbot") and none is front-loaded with what the tool actually does. The space is spent on sales copy instead of function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No annotations, no output schema, and a description that never explains the sort operation, its inputs beyond an optional query, or its result—so an agent has essentially nothing to reason from before invoking it. The domain framing (restaurant/brand growth) is also unrelated to the name, leaving the definition incomplete and misleading.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single optional `query` parameter has full schema description coverage, so the schema already carries the semantics; the description adds nothing about how a query scopes the sort. Per the high-coverage baseline, a 3 is appropriate rather than lower.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description mainly restates the name ("handover sort tool toolkit") and then describes something else entirely: "a battle-tested prompt and operating playbook for restaurant/brand growth." It never says what is being sorted, what a handover is in this context, or how the output is shaped, so an agent cannot distinguish it from handover-summary-tool, handover-check-tool, or the many other *-sort-tool siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 any alternative tool. "No setup, works in any LLM chatbot" is a deployment claim, not routing guidance, and the restaurant/brand-growth framing actively misdirects an agent trying to decide between the handover-* siblings.
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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