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josemachado-vp

SF Assistant MCP Server

generate_rule_doc

Creates consultant-ready implementation guides for SAP SuccessFactors rules, including Admin Center navigation, condition configuration, HRIS assignment, and verification steps.

Instructions

Generate step-by-step implementation documentation for a business rule.

Produces a consultant-ready guide for creating the rule in the SAP SuccessFactors Rule Editor UI, including:

  • Navigation steps in Admin Center

  • Rule creation dialog values

  • Each IF/THEN condition to configure

  • HRIS Element assignment instructions

  • Event type configuration

  • Post-implementation verification steps

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoDocumentation language: 'en' for English, 'es' for Spanishen
rule_specYesThe rule specification output from generate_rule_spec
output_formatNoOutput format: 'markdown' (default), 'json', or 'text'markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It clearly states the tool produces documentation (a non-destructive generative action) but does not disclose side effects, authentication needs, or rate limits. The content is transparent but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the main purpose, and uses a bulleted list for clarity without redundancy. It is appropriately sized for the tool's complexity.

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

Completeness4/5

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

Given the tool has 3 parameters (one nested object), and an output schema, the description provides sufficient context about the output contents and parameter sources. It does not cover error handling or edge cases but is adequate for agent invocation.

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%, so the input schema already covers each parameter's meaning. The description adds context (e.g., rule_spec comes from generate_rule_spec) but does not significantly extend parameter semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Generate') and clearly identifies the resource ('step-by-step implementation documentation for a business rule'). It lists detailed contents, differentiating it from sibling tools like generate_rule_spec or generate_rule_test.

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

Usage Guidelines3/5

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

The description implies a pipeline use (accepting output from generate_rule_spec) but does not explicitly state when to use this tool vs alternatives. No when-not-to-use guidance is provided.

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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