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CDataSoftware

CData Sync MCP Server

Official

write_users

Create or update user accounts in CData Sync with configurable roles, passwords, and access settings. Manage single users or bulk operations for authentication and permissions.

Instructions

Create or update CData Sync users.

PASSWORD REQUIREMENTS: Must contain uppercase, lowercase, numbers, AND special characters.

RETURNS:

  • create: New user details with confirmation

  • update: Updated user information

COMMON ERRORS:

  • "Invalid password" - Must meet complexity requirements

  • "User already exists" - Use unique usernames

  • "Invalid role" - Use exact role values (cdata_admin, etc.)

  • "Bulk creation failed" - Check individual user errors

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesCreate new users or update existing. No delete available.
userNoUsername for single operations. Must be unique. Case-sensitive.
passwordNoPassword must be 8+ characters with uppercase, lowercase, numbers, AND special characters (!@#$%^&*). Example: 'MyPass123@'. Required for create. Store securely.
rolesNoUser role (use exact values): cdata_admin, cdata_standard, cdata_job_creator, or cdata_support
activeNoEnable/disable user access. Inactive users cannot log in.
federationIdNoSSO federation ID. Enables single sign-on authentication.
expiredInNoDays until auth token expires (update only). Useful for API access tokens.
usersNoArray of users for bulk creation. Efficient for adding multiple users at once.
workspaceIdNoWorkspace ID to use for this operation. Overrides the default workspace. Use 'default' for the default workspace or a UUID for specific workspaces.
Behavior5/5

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

With no annotations provided, the description carries the full burden and excels. It discloses critical behavioral traits: password requirements, return values for create/update actions, common errors with explanations, and bulk operation support. This covers mutation effects, error handling, and operational constraints, providing comprehensive guidance beyond the input schema.

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 well-structured with clear sections (purpose, requirements, returns, errors), making it easy to scan. It's appropriately sized for a complex tool with 9 parameters, though some redundancy exists (e.g., password requirements are stated in both the description and schema). Every sentence adds value, but minor trimming could improve efficiency.

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's complexity (9 parameters, mutation operation, no annotations, no output schema), the description is largely complete. It covers purpose, behavior, errors, and returns, compensating well for the lack of structured metadata. However, it could enhance completeness by detailing output formats more explicitly or mentioning authentication needs, though the latter is somewhat implied by the context.

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 schema already documents all parameters thoroughly. The description adds minimal parameter-specific information beyond the schema, such as reiterating password requirements and noting bulk efficiency. It doesn't provide additional syntax, format, or usage nuances, so it meets the baseline for high schema coverage.

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 tool's purpose: 'Create or update CData Sync users.' It specifies the verb ('create or update') and resource ('CData Sync users'), but doesn't explicitly differentiate from sibling tools like 'read_users' beyond the obvious write vs. read distinction. The description is specific but could better highlight what makes this tool unique among write operations.

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 usage through the 'RETURNS' and 'COMMON ERRORS' sections, suggesting when to expect certain outcomes, but lacks explicit guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, compare with other write tools (e.g., 'write_workspaces'), or specify scenarios for bulk vs. single operations. Usage is inferred rather than stated.

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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