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hub_get_preferred_integration

Read-onlyIdempotent

Get the workspace's preferred integration target — which task system new actions are routed to by default (Jira, ClickUp, Airtable, PM, etc.). Requires workspace-settings:read scope.

Input Schema

NameRequiredDescriptionDefault
accountNoMulti-account auth only: name of the account from X-Dutify-Accounts to use for this call. Ignored in single-account mode (X-API-Key header). When multiple accounts are configured and this is omitted, the call fails with ACCOUNT_REQUIRED listing the available names. list_accounts never requires a selection.
workspaceNoWorkspace identifier or exact name for this call. Overrides the configured workspace. For personal keys, discover candidates with list_workspaces and select explicitly. Does not change other calls or expand a workspace key's access.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds genuine behavioral context beyond that: the explicit "Requires workspace-settings:read scope" auth requirement and the interpretation of the returned value as the default routing target.

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?

Two compact clauses: the core purpose is front-loaded, and the scope prerequisite follows as a short separate statement. Every sentence earns its place with no filler.

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?

For a no-argument read with full schema coverage and read-only annotations, the description supplies everything needed to call it correctly: what it returns conceptually and what permission is required. Only the shape of the returned value (e.g., whether it includes an integration id versus just a name) is left implicit, which is minor given no output schema exists.

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% and both parameters (account, workspace) carry detailed inline documentation, so the schema already does the heavy lifting. The description says nothing about how account or workspace selection interacts with this call, leaving it at the baseline.

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 uses a specific verb ("Get") on a specific resource ("workspace's preferred integration target") and immediately explains what that concept means: the task system new actions route to by default, with concrete examples (Jira, ClickUp, Airtable, PM). This clearly distinguishes it from the sibling hub_set_preferred_integration and from hub_list_integrations.

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 read-only nature and the mentioned scope imply when the tool applies, but the description never states the condition for calling it versus alternatives — notably the setter sibling hub_set_preferred_integration or hub_list_integrations for enumerating available targets. Usage must be inferred from the name and the verb.

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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