Save hours every week. This manage report 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 carries the full behavioral burden and largely fails it: it never says whether the tool returns a static prompt, generates content, mutates anything, or requires auth. The only behavioral hint is that it is a ready-made prompt/playbook, which implies a retrieval-style, side-effect-free call but does not state it.
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 the sentences are promotional filler ("Save hours every week," "No setup, works in any LLM chatbot") rather than front-loaded substance. Almost no information survives if the marketing phrasing is removed.
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?
With no annotations and no output schema, the description must explain what the tool produces and when to call it; it does neither beyond a vague promise of a prompt/playbook. For a tool competing against a large family of report and brand tools, that leaves an agent unable to decide whether to invoke it.
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 description coverage is 100% for the single optional "query" parameter, so the schema already explains its meaning. The description adds nothing about how a query scopes the analysis, but the baseline of 3 applies when the schema does the heavy lifting.
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 the tool delivers a "battle-tested prompt and operating playbook for restaurant/brand growth," but never states concretely what the tool returns or how it relates to "manage-up-report" (managing upward/reporting to a boss). It is closer to marketing copy than a statement of verb+resource, and nothing distinguishes it from the many report siblings such as boss-report or report-writer-pro.
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 or when-not-to-use guidance at all, and no named alternative among the hundreds of report/brand siblings. "No setup, works in any LLM chatbot" describes packaging, not the situation that should trigger this tool.
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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