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Replace Revision Integration Queues

replaceRevisionIntegrationQueues
Idempotent

Replace the set of queues linked to this build's case-queue integration slot. Send the full desired queue list — any queues not in the list will be unlinked. Requires edit permission on the agent. After linking, call getRevisionCaseQueueSetup to confirm the slot now reports linked_queue_count > 0.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesAgent ID
build_idYesBuild ID
queue_idsYesFull set of queue IDs to link to this slot. Replaces any existing links.
integration_idYesIntegration ID
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.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Discloses the key side effect — 'any queues not in the list will be unlinked' — well beyond the annotations' readOnly/destructive hints. Also adds the permission requirement and the success criterion (linked_queue_count > 0), which function as a post-condition. This is consistent with idempotentHint=true, since submitting the same full list twice yields the same state; no contradiction with annotations.

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?

Three sentences with zero waste: the purpose, the replacement semantics, and the permission/verification steps. The critical 'full list' instruction is front-loaded immediately after the purpose statement, so an agent grasps the operational contract quickly.

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 moderate-complexity mutation tool with no output schema, the description covers purpose, side effects, permissions, and a verification path via getRevisionCaseQueueSetup, which effectively substitutes for return-value documentation. The remaining gap is that the direct response shape and edge-case behavior (e.g., an empty queue_ids array) are not addressed, though the confirm-call instruction mitigates this.

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 selected_automation_revision_id parameter already has extensive draft/active/historic semantics in the schema, and queue_ids already documents 'Full set of queue IDs... Replaces any existing links.' The description reinforces queue_ids' full-set meaning and ties build_id/integration_id to the 'case-queue integration slot', but adds little net-new meaning beyond the schema.

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?

States a specific verb ('Replace') and a precise resource ('the set of queues linked to this build's case-queue integration slot'). The second sentence's 'full desired queue list' semantic makes the replace-all behavior unmistakable and separates it from additive siblings like attachRevisionIntegrations.

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

Usage Guidelines4/5

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

Provides a clear invocation pattern ('Send the full desired queue list — any queues not in the list will be unlinked'), a precondition ('Requires edit permission on the agent'), and a named follow-up call (getRevisionCaseQueueSetup). It does not explicitly contrast with additive alternatives such as attachRevisionIntegrations or listRevisionIntegrationQueues, so when-not-to-use is left partly to inference.

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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