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Attach Revision Integrations

attachRevisionIntegrations

Attach one or more integrations to an agent revision. To pin specific connections after attachment, use pinRevisionIntegrationConnection. IMPORTANT for the case-queue-producer and case-queue-consumer integrations: attaching the integration alone is NOT enough — the slot points at no queue and will fail at runtime until you link at least one queue with replaceRevisionIntegrationQueues. After wiring up, call getRevisionCaseQueueSetup to confirm every case-queue slot has linked_queue_count > 0 before starting work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesAgent ID
build_idYesBuild ID
integration_idsYesIntegration IDs (or custom integration IDs) to attach to the revision
selected_automation_revision_idNoThe automation revision this edit is being made at. Pass a draft and the edit is folded into that draft itself; pass the active revision and the edit lands on a draft branched from it. A historic revision is rejected — it cannot be activated from without an explicit rebase. A revision belonging to a different automation is ignored, and the edit targets the automation the addressed agent belongs to. Omit to target the automation's active revision.

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=false, but the description adds critical operational behavior: for case-queue-producer and case-queue-consumer integrations, attaching alone is insufficient and will cause runtime failure unless queues are linked. It also recommends a confirmation step with getRevisionCaseQueueSetup. This far exceeds annotation coverage and gives actionable operational warnings.

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 front-loaded with the primary purpose and then delivers precise, high-value warnings and follow-ups. Every sentence earns its place; the 'IMPORTANT' section is justified by the severity of the runtime failure it prevents. No fluff or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a complex integration semantics requiring warnings about special cases. The description fully covers the attach action, the pinning alternative, the queue-linking requirement, and a verification step. It is complete given the schema provides parameter details and no output schema is expected.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds extra meaning for integration_ids by explaining that specific integration types (case-queue-producer and case-queue-consumer) have additional requirements beyond simply being in the list. This contextual parameter guidance justifies a score above baseline, though it doesn't detail every parameter.

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 the specific verb 'Attach' with a clear resource ('one or more integrations to an agent revision'). It explicitly distinguishes itself from related sibling tools by naming pinRevisionIntegrationConnection, replaceRevisionIntegrationQueues, and getRevisionCaseQueueSetup as separate follow-up actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit when-to-use guidance and names alternatives: 'To pin specific connections after attachment, use pinRevisionIntegrationConnection' and 'until you link at least one queue with replaceRevisionIntegrationQueues.' It also gives a verification step, making the usage context unmistakable.

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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TDQS

B3.1/5.0
Disambiguation2/5

Despite detailed descriptions, many tool names are highly ambiguous, with multiple tools covering the same conceptual actions (e.g., acceptClarityCaptureSuggestion vs. acceptClarityTeamAssignmentSuggestion, or the many deleteClarity*Interview tools). The set is so large that distinguishing between, say, listClarityFolders, listClarityProcesses, and listClarityProcessSummaries requires reading deep into descriptions, reducing agent selection accuracy.

Naming Consistency4/5

The naming convention is predominantly verb_noun (e.g., createClarityProcess, listAgents, deleteQueue), and is remarkably consistent across the 316 tools. There are only minor deviations, such as 'fileSuggestedClarityProcesses' (verb + adjective noun) and 'bulkUpdateCasePriority' (where 'bulk' could be seen as a prefix), but overall the pattern holds strongly.

Tool Count1/5

With 316 tools, this server is extremely oversized for any single agent to manage effectively. The massive number of tools suggests poor modularization—many of these tools likely belong in separate, smaller servers focused on specific domains (e.g., Clarity, Pulse, Agent management). The cognitive load for an agent to choose from 316 options is very high, leading to frequent misselection.

Completeness4/5

The tool surface covers an extraordinarily wide range of operations across the Duvo platform: agents, runs, cases, queues, Clarity processes, skills, integrations, notifications, teams, and more. Most resource types have full CRUD and lifecycle management. Notable minor gaps exist (e.g., no tools for managing specific notification batch severities dynamically, and some interview management is missing batch operations), but for the platform's scope, coverage is impressively thorough.

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