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david-rodrig

SuccessFactors MCP Server

by david-rodrig

manage_user_fields

Retrieve or update standard user fields in SuccessFactors by user ID, employee ID, or email. Supports all 47 standard fields for employee data management.

Instructions

Get or update all standard user fields in SuccessFactors. Supports all 47 standard fields including STATUS, USERID, USERNAME, FIRSTNAME, LASTNAME, MI, GENDER, EMAIL, MANAGER, HR, DEPARTMENT, JOBCODE, DIVISION, LOCATION, TIMEZONE, HIREDATE, EMPID, TITLE, BIZ_PHONE, FAX, ADDR1, ADDR2, CITY, STATE, ZIP, COUNTRY, REVIEW_FREQ, LAST_REVIEW_DATE, CUSTOM01-CUSTOM15, MATRIX_MANAGER, DEFAULT_LOCALE, PROXY, CUSTOM_MANAGER, SECOND_MANAGER, LOGIN_METHOD, PERSON_GUID, and PERSON_ID_EXTERNAL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform: "get" to retrieve fields, "update" to modify fields
fieldsNoRequired for "update" action: Object containing field names and values to update. Keys should be uppercase field names (e.g., {"FIRSTNAME": "John", "LASTNAME": "Doe"}). Optional for "get" action: specify which fields to retrieve, otherwise all fields are returned.
userIdYesUser ID (USERID), Employee ID (EMPID), or Email address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

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. It reveals that updates are possible, but it does not mention side effects, permissions required, whether updates are partial or full replacements, reversibility, or any write-operation cautions. This is a meaningful gap for a mutation-capable tool.

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

Conciseness3/5

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

The opening sentence is clear and front-loaded, but the massive list of 47 field names makes the description long and unstructured. The list is informative and relevant, yet it could be better organized (e.g., grouped or abbreviated) without losing value.

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?

The tool has no output schema and no annotations, so the description must cover more than it does. It explains the input scope well, but it omits return values, error behavior, authentication needs, and update side effects. An agent is left without important context for safely invoking and interpreting this tool.

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 baseline is 3. The description adds a useful enumeration of valid field names for the 'fields' parameter, but it does not add meaning beyond what the schema already provides for 'action' or 'userId'. It supplements the schema without significantly extending it.

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

Purpose4/5

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

The description clearly states the action ('Get or update') and the resource ('all standard user fields in SuccessFactors'), which is specific enough to distinguish it from siblings focused on manager/HR data or search. However, it does not explicitly name or contrast sibling tools, so it stops short of a 5.

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 given about when to use this tool versus siblings like get_user_data, post_user_data, or update_user_odata. The description implies it is for standard user fields, but it never states exclusions, prerequisites, or when another tool would be more appropriate.

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