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josemachado-vp

SF Assistant MCP Server

generate_rules_workbook

Populates the Employee Central Rules sheet in the Employee Field Data & RBP workbook by reading Business Rules from RuleHeaderBean and mapping them to rule attributes.

Instructions

Populate the Employee Central Rules sheet in the Employee Field Data & RBP workbook.

Reads all Business Rules from RuleHeaderBean and maps them to the 8 columns: HRIS Element / Object | Rule Name | Rule Trigger Type | Field to Trigger onChange Rule | Functional Description | Rule Description | Rule Base Object | Rule ID

All other sheets in the RBP workbook are preserved unchanged (manual).

Returns: { file, rules_count, warnings }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
data_centerNo
auth_user_idNo
auth_passwordNo
scenario_filterNo

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 carries full burden. It mentions reading all business rules from RuleHeaderBean, mapping to columns, and preserving other sheets unchanged, which gives some insight. However, it omits side effects (e.g., overwriting) and access requirements.

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 with three sentences and a clear list of columns. It front-loads the main action, though the parameter list could be more structured within the text.

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?

Despite having an output schema, the description fails to explain the purpose of any parameters, which are critical for authentication and filtering. The tool's context (HRIS system) is implied but not fully elaborated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the four parameters (data_center, auth_user_id, auth_password, scenario_filter). Users would have no idea what these parameters mean or how to use them.

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 clearly states it populates the Employee Central Rules sheet in a specific workbook, listing the 8 columns. This distinguishes it from sibling tools like generate_rule_doc or generate_rule_spec, which generate different artifacts.

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 it is for generating a rules workbook but does not explicitly state when to use it or provide alternatives. With many sibling generation tools, explicit guidance on when to choose this over others would be beneficial.

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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