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sanhao-global-experts

sph-talk-kit

Turn expertise into output. This sph 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 exist, so the description carries the full burden, yet it discloses no behavioral traits such as output format, side effects, or permissions. The only behavioral claim is that the pack 'includes the complete prompt, usage guide, and edge-case handling', which describes package contents rather than what invoking the tool does. It is effectively opaque about execution.

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?

Three short sentences, so it is not bloated, but the content is promotional filler rather than front-loaded operational detail. Every sentence could be replaced with concrete function and usage information without adding length.

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?

There is no output schema and no annotation, so the description is the only source of behavioral information — and it omits what the tool returns, how results are shaped, and when to prefer a sibling kit. For a tool embedded in a large family of near-duplicate kits, this is insufficient for correct selection.

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% and there is a single optional 'query' parameter, so the schema already explains its meaning. The description adds nothing about how the query scopes the analysis or what happens when it is omitted, which is the baseline expectation at high coverage.

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 is marketing copy ('Turn expertise into output', 'professional results in minutes') rather than a statement of what the tool actually does. It reveals only that it is a 'prompt pack' for restaurant/brand teams, with no verb describing the operation an agent would invoke. It cannot be distinguished from the many sibling kits (dy-talk-kit, gzh-talk-kit, xhs-talk-kit, zh-talk-kit).

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?

No when-to-use guidance is given, and no alternative is named. With roughly a dozen near-identical '-talk-kit' siblings, the agent has no basis for choosing this one over any other. Usage must be inferred entirely from the 'sph' prefix.

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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