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sanhao-global-experts

procrastination-breaker

Turn expertise into output. This procrastination breaker 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, yet it only says the pack 'includes the complete prompt, usage guide, and edge-case handling' without stating what the tool returns at runtime, whether it is a static text dump or a generated response, or what happens when no query is provided. It also never discloses that the operation is presumably a harmless read.

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, but the opening ('Turn expertise into output') is a slogan rather than information and the middle sentence is marketing filler. It is brief without being front-loaded with the operational facts an agent needs.

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 simple one-optional-param tool with no output schema, the description should at minimum say what content comes back and in what form. Instead it advertises packaged materials ('prompt, usage guide, edge-case handling') without clarifying whether those are returned as text, so an agent cannot predict the result.

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% and the single optional 'query' parameter is fully documented in the schema, so the baseline is 3. The description adds nothing about how a query scopes the output, but with high coverage it does not need to.

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 restates the tool name ('procrastination breaker prompt pack') and offers only a vague marketing claim ('Turn expertise into output', 'produce professional results in minutes'). It never states a concrete verb+resource, such as 'returns a ready-made prompt template that...', and amidst hundreds of restaurant/brand siblings it gives no way to tell what output this one actually produces.

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?

There is no when-to-use guidance, no exclusions, and no named alternative. The only scoping signal is an implied audience ('restaurant and brand teams'), which does not tell an agent which of the many sibling tools to pick in a given situation.

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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