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sanhao-global-experts

persuasion-script

Turn expertise into output. This persuasion script 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

C2.2/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and does not meet it. It says the pack 'includes the complete prompt, usage guide, and edge-case handling' — content inventory, not behavior — and leaves unstated what the tool actually emits, how the optional query affects output, or whether results are deterministic.

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 sentences of promotional copy where the front-loaded claim is the least informative part. Phrases like 'produce professional results in minutes' consume space without conveying anything an agent can act on.

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?

No annotations and no output schema, so the description must explain what comes back and how to invoke it correctly — it does neither beyond listing bundled assets. For a tool with an unconstrained free-text input, an agent cannot tell what output shape or scope to expect.

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?

Schema description coverage is 100% for the single optional 'query' field, so the schema already documents it. The description adds nothing about how the query scopes the script, but baseline 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.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the artifact as a 'persuasion script prompt pack' for restaurant and brand teams, but the leading claim 'Turn expertise into output' is marketing filler rather than a verb+resource statement. It never says whether the tool generates a script, returns a prompt template, or evaluates an input, and against dozens of script/copy siblings it offers no differentiation.

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?

The only situational signal is the target audience ('restaurant and brand teams'), which hints at context but is not when-to-use guidance. There are no stated triggers, exclusions, or named alternatives among the many script-writing siblings, and no prerequisites are mentioned.

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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