Save hours every week. This rebirth drama template 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, the description carries the full burden, yet it only hints that the output is a prompt plus playbook. It does not say what is actually returned, whether the bundled prompt is applied or merely displayed, how the optional query alters behavior, or any limits. The claims 'save hours' and 'battle-tested' are marketing assertions rather than behavioral disclosure.
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?
Three short sentences, but the lead line 'Save hours every week' and 'No setup, works in any LLM chatbot' are pure sales copy that consume space without informing an agent. The informative content is buried mid-sentence rather than front-loaded.
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 and no output schema mean the description had to explain the mechanics of this tool on its own, and it does not: the nature of the 'rebirth drama template,' what invoking it produces, and how the optional query is consumed are all unstated. Adequate only as a store listing blurb, not as tool documentation.
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?
There is a single optional parameter with 100% schema description coverage ('Optional user query to scope the analysis'), so the baseline is 3. The description adds no meaning about what the query scopes or how it changes the result, adding nothing beyond the schema.
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 names a toolkit and claims it delivers 'a battle-tested prompt and operating playbook,' but never states a concrete verb or action the agent performs, and the pairing of 'rebirth drama' with 'restaurant/brand growth' is internally confusing. It tells the reader nothing that would separate it from siblings such as boss-drama-template or ai-shortdrama-replica.
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?
The only usage signal is a vague audience hint ('restaurant/brand growth'); there is no statement of when to call this versus the many other drama/template tools, no prerequisites, and no exclusions. 'No setup, works in any LLM chatbot' is promotional, not guidance.
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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