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sanhao-global-experts

flow-write-tool

Turn expertise into output. This flow write tool prompt pack helps restaurant and brand teams produce professional results in minutes. Includes the complete prompt, usage guide, and edge-case handling.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden of behavioral disclosure and does not meet it. It says nothing about permissions, side effects, whether output is persisted, or what the caller receives; "Includes the complete prompt, usage guide, and edge-case handling" describes the product bundle, not the tool's runtime behavior. Calling it a "prompt pack" is also ambiguous about whether this executes a workflow or merely returns text.

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

Conciseness3/5

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

It is short and front-loaded, but the opening sentence is a slogan rather than a capability statement, and "in minutes" plus the bundle-contents sentence are filler that consume the limited space. Roughly half the text does not help an agent decide or invoke correctly.

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?

For a tool with no annotations, no output schema, and no explanation of return values, the description should compensate; instead it is entirely promotional. An agent cannot tell what input produces what output, whether the operation is safe to repeat, or when to prefer it over the ~20 sibling flow-* tools.

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 only one optional parameter and schema description coverage is 100%, so the schema already documents "query" as an optional scoping input. The description adds no meaning beyond that (no format, examples, or effect of omitting it), which is the baseline case for a fully documented single-parameter 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?

"Turn expertise into output" and "helps restaurant and brand teams produce professional results" are marketing abstractions, not a stated verb+resource. It never says what artifact is actually written (a flow? a SOP? a document?) or how it differs from the many sibling flow-* tools such as flow-gen-tool or flow-audit-tool. The only concrete anchor is the name itself, so the description largely restates the title.

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 at all: no prerequisites, no exclusions, and no routing against flow-gen-tool, flow-audit-tool, flow-polish-tool, flow-rewrite-tool, or the other flow-* siblings. The "restaurant and brand teams" audience hint is the only contextual signal, and it is too broad to select between alternatives.

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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