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sanhao-global-experts

severance-pay-calculator

Turn expertise into output. This severance pay calculator 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

D1.7/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description must carry the full behavioral burden, yet it discloses nothing about execution, outputs, permissions, or side effects. Claiming it "includes the complete prompt, usage guide, and edge-case handling" describes a product bundle, not tool behavior.

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 of marketing copy with no front-loaded statement of function. Every sentence is filler relative to what an agent needs to decide whether to call it.

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

Completeness1/5

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

For a computational tool with no annotations and no output schema, the description omits inputs required, calculation logic, and return shape entirely. An agent could not use it correctly from this text alone.

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, which already states its purpose, so the baseline of 3 applies. The description adds no meaning beyond the schema and never mentions how the query scopes the analysis.

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 name implies a severance-pay calculation, but the description says it is a "prompt pack" that helps "restaurant and brand teams produce professional results" — a different domain entirely. It never states what the tool actually computes or returns, so intent is ambiguous.

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 guidance on when to use this tool versus any sibling, no preconditions, and no mention of when it would be inappropriate. The text is purely promotional.

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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