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Move Pulse Dashboard

movePulseDashboard

Move a Pulse dashboard from the team in the URL to another team, keeping only its latest revision (chat history and older revisions are deleted). The caller must be a Manager or above on both teams. Pass dryRun=true to preview which Connections reconnect vs drop without applying changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dryRunNoWhen true, only previews the move: reports which Connections would reconnect vs drop without changing anything.
team_idNoDuvo team UUID to operate on. API keys are pinned to a single team — omit this (it falls back to the key's team) or pass that same team; a different team is rejected. OAuth callers, who can span multiple teams, should pass the target team here.
artifactIdYes
targetTeamIdYesID of the destination team the dashboard moves to.

TDQS

A3.6/5.0
Behavior1/5

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

The description states that older revisions and chat history are deleted, which directly contradicts the annotations' destructiveHint=false. This is a clear annotation contradiction, and the mixed signals reduce trust in the tool's behavior.

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 three sentences long and front-loaded with the core action, followed by critical details (deletion, permissions, dryRun) without unnecessary elaboration. Every sentence earns its place.

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?

The description covers permissions, destructive behavior, and the dryRun preview option, which are essential for safe use. However, it lacks information about the return value/format, especially what dryRun returns or how the move result is communicated, which matters since no output schema is provided.

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 covers 75% of parameters with descriptions, and the tool description adds meaningful context for dryRun (preview reconnect vs drop) and implicitly clarifies the source/destination roles of team_id and targetTeamId. However, artifactId is undocumented in both the description and the schema, and the description does not fully compensate for the param semantics gap.

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 clearly states the tool moves a Pulse dashboard between teams, specifies the source as 'the team in the URL', and notes the key behavior of keeping only the latest revision. It distinguishes itself from sibling tools like duplicatePulseDashboard by emphasizing the move action and the deletion of older revisions.

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?

The description provides clear context for when to use the tool (moving a dashboard to another team) and includes caller requirements (Manager or above on both teams) and guidance for using dryRun to preview effects. However, it does not explicitly contrast with alternatives such as duplicatePulseDashboard or deletePulseDashboard.

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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