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sanhao-global-experts

bargain-talk-coach

Turn expertise into output. This bargain talk coach 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 disclosure burden, yet it only states that a 'complete prompt, usage guide, and edge-case handling' are included. It says nothing about what invoking the tool produces, whether it is a read or generation operation, or any limits, so behavior beyond the input schema remains opaque.

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 short sentences, but all of them are marketing filler ('produce professional results in minutes', 'complete prompt') rather than front-loaded functional information. Nothing is wasted-length-wise, yet the words spent fail to earn their place by communicating purpose.

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 the tool returns and how to steer it via the query parameter. It instead reads as product copy, leaving an agent without enough to decide when to call it or what 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 coverage is 100%, so the single optional 'query' parameter is already documented in the schema as an optional scoping input. The description adds no meaning about what the query scopes, but per the high-coverage baseline a 3 is appropriate.

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 opens with a generic slogan ('Turn expertise into output') and then markets a 'prompt pack' rather than stating a verb and resource for the tool itself. Only the phrase 'bargain talk coach' (already in the name) and the audience 'restaurant and brand teams' hint at purpose, so an agent cannot tell from this text what the tool actually does or returns.

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, when-not-to-use, or alternative tool is mentioned. The audience reference ('restaurant and brand teams') is the only scoping cue, and it does not distinguish this tool from the many sibling negotiation/persuasion tools such as business-negotiation, salary-negotiation, or promotion-pitch-coach.

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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