Save hours every week. This xhs topic kit 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?
No annotations are provided, so the description must carry the behavioral disclosure burden. It states "No setup," but does not explain whether the tool returns a static prompt, runs an analysis, or produces any side effects, and the effect of the optional query parameter is left unstated.
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?
The text is short but front-loaded with marketing filler ("Save hours every week") and redundant phrasing ("xhs topic kit toolkit"). It reads more like a product pitch than a clear capability statement, though it is not excessively long.
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?
For a simple tool with one optional parameter and no annotations or output schema, the description should clarify what invoking the tool produces. It hints at a prompt/playbook but does not specify the output form or how the optional query changes the result, leaving key context missing.
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?
Schema coverage is 100%, and the single query parameter is documented in the schema as an "Optional user query to scope the analysis." The description adds no further meaning about how the query scopes the output or what format it should take, so the baseline of 3 is appropriate.
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 says it provides a "battle-tested prompt and operating playbook for restaurant/brand growth," which hints at a content-generation aid. However, it never defines what an "xhs topic kit" actually does and does not distinguish itself from the many xhs-* sibling kits such as xhs-guide-kit or xhs-sop-kit.
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 guidance on when to use this tool versus alternatives like xhs-title, xhs-viral-copywriter, or other xhs kits. The only usage cue is "works in any LLM chatbot," which does not help an agent select this tool over its 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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