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sanhao-global-experts

notice-rewrite-tool

Save hours every week. This notice rewrite tool toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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: nothing is said about what the tool returns, whether any content is transformed or persisted, or what permissions or inputs are needed. The only behavioral hint — that it hands you a prompt plus playbook rather than performing a rewrite — is incidental and never stated plainly.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It opens with an uninformative sales hook ("Save hours every week") that spends prime front-loaded space on marketing rather than capability. The remaining sentences are short but content-poor, so the text is brief without being informative.

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?

With no output schema and no annotations, the description is the only channel for explaining what a caller gets back, and it never does. For a one-parameter prompt/playbook tool in a crowded notice-* family, an agent has no way to confirm correct usage from this text alone.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already explains the `query` scoping field. The description adds nothing about how `query` shapes the output or what happens when it is omitted, which is the baseline-3 case rather than a failure.

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 mostly restates the name ("this notice rewrite tool toolkit") and adds a marketing framing ("prompt and operating playbook for restaurant/brand growth") rather than stating what the tool actually produces. It never says whether it rewrites a notice, returns a reusable prompt, or applies a playbook, and it gives no basis for distinguishing it from siblings such as notice-polish-tool, notice-write-tool, or notice-tpl-tool.

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?

There is no when-to-use guidance, no when-not-to-use, and no named alternative among the many notice-* siblings. "Works in any LLM chatbot" is an environment claim, not a routing rule, and "restaurant/brand growth" narrows scope in a way that may be misleading given the generic 'notice' namespace.

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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