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CData Arc MCP Server

by ctslone

import_settings

Import partner and connector profiles from base64-encoded arcflow data. Specify workspaces, duplicate handling, and global settings for full profile configuration.

Instructions

Import partner/connector profiles from arcflow data (base64 encoded)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
arcflowYesBase64 encoded string containing the zip data for the arcflow (required)
inputNameNoThe name of the form input when uploading files from a form
overwriteNoWhether to overwrite duplicated sources (True/False, default: False)
workspaceIdNoThe workspace to import into. If unspecified, auto-detects or uses default workspace
dataDirectoryNoThe data directory or zipped file where profiles are stored
globalSettingsNoGlobal settings to import. Comma-separated values or "ALL". Values: Partners, Documents, Users, Roles, Certificates, Connections, Vaults, Reports, Alerts, Advanced, AdminAPI, SSO
decryptPasswordNoThe password for decrypting sensitive values
duplicateActionNoHow to handle duplicates: "Overwrite", "Rename", or "Skip"
profileSettingsNoProfiles to import. Comma-separated values or "ALL". Values: AS2, AS4, GISB, RosettaNet, FTPServer, SFTPServer, HL7MLLP, OFTP
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It fails to disclose side effects, whether overwriting occurs, if decryption is required, or what the return value is. The only behavioral hint is 'base64 encoded', which is limited.

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

Conciseness5/5

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

The description is a single, front-loaded sentence with no wasted words. It efficiently states the core purpose without excessive detail.

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?

Given the tool's complexity (9 parameters, no annotations, no output schema), the description is insufficient. It lacks information on return values, error handling, or operational context, relying entirely on the schema for parameter details.

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?

The schema provides detailed descriptions for all 9 parameters (100% coverage), so the baseline is 3. The main description adds no parameter-specific meaning beyond what the schema already documents.

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 imports partner/connector profiles from arcflow data (base64 encoded), which is a specific verb and resource. It distinguishes from sibling tools by mentioning the source (arcflow data), but does not explicitly reference alternatives like export_settings.

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?

There is no guidance on when to use this tool versus alternatives. The description simply states the action without providing context or exclusions, leaving the agent without direction on tool selection.

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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