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sanhao-global-experts

budget-formula-tool

Turn expertise into output. This budget formula tool 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 burden of behavioral disclosure and it falls short. Saying the pack "includes the complete prompt, usage guide, and edge-case handling" hints at returned content but never describes the output shape, whether the call mutates anything, or how it behaves when the optional query is omitted.

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, all of them promotional filler rather than specification. The opening line "Turn expertise into output" conveys zero operational information and consumes the front-loaded position where the actual purpose should sit.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one optional parameter, no output schema), so the bar is modest, but the description still never says what calling it produces beyond the vague "prompt pack" phrasing. An agent would know the domain (restaurant/brand budgets) but not the operation or 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 description coverage is 100% for the single optional `query` parameter, so the schema already explains its meaning and the baseline of 3 applies. The description adds nothing about how the query scopes the analysis, but no penalty is warranted beyond the 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 largely restates the tool name ("This budget formula tool prompt pack") and pads it with marketing claims ("Turn expertise into output", "professional results in minutes"). It never states what the tool actually does with a budget formula, and it gives no hint of how it differs from the many siblings such as budget-analyze-tool, budget-board-tool, budget-diag-tool, or budget-tpl-tool.

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 guidance on when to select this tool over the other budget-* siblings, no prerequisites, and no exclusions. The only contextual cue is the audience mention ("restaurant and brand teams"), which implies a domain but not a usage condition.

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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