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sanhao-global-experts

traffic-hook-library

Turn expertise into output. This traffic hook library 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 must carry the full behavioral burden, but it does not clarify whether the tool retrieves a static prompt pack, generates new content, or merely returns reference material. The mention of 'complete prompt, usage guide, and edge-case handling' hints at bundled content but says nothing about side effects, safety, permissions, or response behavior.

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?

The opening 'Turn expertise into output' and the phrase 'professional results in minutes' are marketing filler that obscure the tool's actual function. The useful detail about included materials comes last rather than being front-loaded.

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 and no output schema, the description should explain what is returned and how to invoke it usefully. It mentions bundled prompt content but leaves key operational details ambiguous, so an agent lacks enough context to select and call the tool confidently.

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?

The schema fully documents the single optional 'query' parameter, so the baseline is 3. The description adds no meaning beyond the schema and does not explain how scoping the query affects the prompt pack or its output.

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 with marketing language ('traffic hook library prompt pack') and never states a concrete operation such as retrieving, generating, or listing prompts. It mentions the target audience ('restaurant and brand teams') but does not distinguish this tool from sibling hook-writing or campaign-library tools.

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?

It names an audience but gives no when-to-use instructions, prerequisites, or alternatives. An agent cannot tell from the description when to call this tool instead of siblings like viral-hook-writer, xhs-hook-master, or mkt-campaign-library.

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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