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sanhao-global-experts

notice-write-tool

Save hours every week. This notice write 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

C2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full behavioral burden and largely fails it: nothing is said about what the tool returns, whether it mutates anything, or what permissions are needed. The phrase 'gives you a battle-tested prompt and operating playbook' weakly implies the response is static template/prompt content, which is the only behavioral signal present and is undercut by the schema's 'query to scope the analysis' parameter.

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?

Three short sentences, but nearly all of the text is promotional filler ('Save hours every week', 'battle-tested', 'No setup') rather than functional information. The opening line is a benefit claim instead of a front-loaded statement of purpose.

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?

The tool itself is simple (one optional parameter, no output schema, no nested objects), so completeness should be easy to achieve. Instead the description omits the core subject matter, the difference from sibling notice tools, and any indication of the returned artifact, leaving an agent unable to use it correctly.

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?

With one optional parameter and 100% schema description coverage, the schema already explains 'query' as an optional scoping input, so baseline 3 applies. The description adds no syntax, format, or example for that parameter, leaving it entirely to the schema.

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 never states what the tool actually does — the word 'notice' appears only inside the tool's own name ('This notice write tool toolkit'), which restates the name rather than defining the operation. The only concrete claim, 'a battle-tested prompt and operating playbook for restaurant/brand growth,' is vague marketing and mismatched with a generic notice-writing tool. Nothing here separates it from the ~9 sibling notice-* tools (gen, polish, rewrite, tpl, etc.).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no preconditions, and no mention of any alternative or sibling tool. 'No setup, works in any LLM chatbot' describes deployment, not invocation context, so an agent has no basis for choosing notice-write-tool over notice-gen-tool or notice-tpl-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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