Skip to main content
Glama
josemachado-vp

SF Assistant MCP Server

generate_fo_workbook

Reads Foundation Objects and Picklists from a live SAP SuccessFactors instance and outputs a dated Excel workbook with headers preserved from the client template.

Instructions

Generate a populated Object & Picklist Data workbook from the live SF instance.

Reads all Foundation Objects (Legal Entity, Business Unit, Division, Department, Cost Center, Job Family, Job Function, Job Code, Location, Pay Grade, Pay Range, Pay Group, Pay Component, Pay Component Group, Event Reason, Time Type, etc.) and Picklists, then writes them to a dated Excel file in exports/.

The output file format exactly matches the client template column layout. Header rows 1-2 are preserved from the template. Data starts at row 3.

Returns: { file, sheets_populated, sheets_skipped, summary, warnings }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entitiesNoSheet names to populate: 'all' for all 28 sheets, or a comma-separated list like 'Department,Event Reason,Location'all
data_centerNo
auth_user_idNo
auth_passwordNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Given no annotations, the description adequately explains the tool reads live data and writes an Excel file without modifying data. It describes the output format and return structure, but could explicitly state it is read-only and mention potential side effects like file overwriting.

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 relatively concise and front-loaded with the main purpose. It includes a useful bulleted list of objects and the return structure. However, it could be slightly more compact by removing redundant elements.

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 description covers the main functionality and output structure, but lacks details on error handling, authentication requirements (though auth params are listed), and default behavior. With no annotations and a moderate parameter count, more context would improve completeness.

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

Parameters2/5

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

Only 25% of parameters have descriptions in the schema. The description adds some context for the 'entities' parameter (listing sheet names) but does not elaborate on 'data_center', 'auth_user_id', or 'auth_password'. With low schema coverage, the description should compensate more.

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 the tool generates a populated Object & Picklist Data workbook from a live Salesforce instance. It lists the specific foundation objects and picklists, which distinguishes it from sibling tools like generate_data_dictionary or generate_import_template.

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 on when to use this tool versus other generate_* tools. The description does not mention prerequisites, when not to use, or context like needing live instance access. Sibling tools are numerous and similar, but no comparative guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/josemachado-vp/MCP-SF'

If you have feedback or need assistance with the MCP directory API, please join our Discord server