Skip to main content
Glama

sanhao-global-experts

dy-talk-kit

Turn expertise into output. This talk kit 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 behavioral burden. It says the pack includes a prompt, usage guide, and edge-case handling, but does not explain whether the tool returns static content, generates text from the optional query, or has any side effects or constraints.

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?

The description is short and structurally simple, but the opening 'Turn expertise into output' and 'professional results in minutes' are marketing filler rather than useful specification. The third sentence about included materials is the most concrete part, though it is still vague.

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 parameterized prompt-pack tool with no output schema and no annotations, the description is too thin. It does not clarify what the returned artifact looks like, how the optional query changes it, or how it relates to the extensive sibling set.

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 one optional parameter and schema description coverage is 100%, so the schema already documents that 'query' scopes the analysis. The description adds no further meaning about how the query affects the prompt pack, which is acceptable given the high coverage baseline.

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 tool as a 'talk kit prompt pack' for restaurant and brand teams, but it never states a concrete action, output format, or resource scope. It largely restates the name and adds generic marketing language rather than distinguishing this tool from the many sibling talk-kit 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?

The only usage signal is the target audience, 'restaurant and brand teams,' which implies context but does not say when to choose this tool over gzh-talk-kit, xhs-talk-kit, sph-talk-kit, zh-talk-kit, or other content-kit siblings. No exclusions or alternatives are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.