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sanhao-global-experts

debt-snowball-plan

Turn expertise into output. This debt snowball plan 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

C2/5.0
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 and largely drops it. It does not say whether the call generates content, retrieves a static template, or mutates anything, nor what the response contains; "produce professional results in minutes" is marketing rather than disclosure.

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 sentences, none of which convey the tool's function; the leading slogan is pure filler and the rest is sales copy about package contents. Space that could have front-loaded the actual behavior is spent on promotion.

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?

With no annotations, no output schema, and one loosely documented parameter, the description needed to explain what is produced and under what conditions. Instead it only asserts that a prompt pack exists, leaving the agent unable to predict the call's effect or 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?

There is a single optional `query` parameter with 100% schema description coverage, so the schema already explains it as an optional scoping string. The description adds no meaning beyond that, but the baseline of 3 is appropriate when the schema does the documentation work.

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 never states what the tool does with debt snowball planning. It opens with an abstract slogan ("Turn expertise into output") and then describes a "prompt pack" for "restaurant and brand teams," which does not match the debt-snowball framing of the name. An agent cannot tell whether this returns a plan, a prompt template, or a document bundle, nor how it differs from adjacent finance tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no named alternative among the many sibling tools. Phrases like "includes the complete prompt, usage guide, and edge-case handling" describe package contents, not conditions for invoking the tool, so the agent is left with nothing actionable.

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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