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fvmuzik00

ukg_pro_wfm_mcp_server

by fvmuzik00

ukg_wfm_ask

Ask natural language questions about UKG Pro Workforce Management and get complete, validated answers on scheduling, timekeeping, and attendance.

Instructions

Universal natural language entry point with full hydration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNoOptional structured inputs such as employeeId, personId, dateRange, knownPlaceId, or groupId.
questionYesNatural language UKG Pro WFM question or request.
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it discloses nothing about side effects, permissions, rate limits, or response behavior. It only mentions 'hydration' without explanation.

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?

The description is short but under-specified, not concise. It omits essential information and does not earn its place by adding value.

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?

The description is inadequate for a tool with no output schema, no annotations, and no sibling context. It fails to explain the tool's purpose, usage scenarios, or expected behavior, leaving the agent with only the schema.

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?

The schema provides 100% coverage for both parameters (question and inputs) with descriptions, so the baseline is 3. The description adds no extra meaning to the parameters.

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 'Universal natural language entry point with full hydration' is vague—it does not specify a concrete action or resource, and 'full hydration' is ambiguous jargon. It fails to clearly state what the tool does beyond being an entry point.

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 guidance is provided on when to use this tool or any alternatives. The description offers no context for appropriate usage scenarios or prerequisites.

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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