Update Pulse Dashboard
updatePulseDashboardUpdate a Duvo Pulse dashboard's settings — rename it. Only the creator can update it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| artifactId | Yes |
updatePulseDashboardUpdate a Duvo Pulse dashboard's settings — rename it. Only the creator can update it.
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| artifactId | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=false and destructiveHint=false. The description adds meaningful behavioral context beyond those annotations: only the creator is permitted to update the dashboard, and the concrete mutation is a rename. It does not mention versioning or return behavior, but for a simple rename the permission constraint is the most important extra context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with zero filler. The action is front-loaded ('Update a Duvo Pulse dashboard's settings — rename it'), and the authorization note is a single clause. Every word contributes.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter rename with no output schema, the description plus schema constraints give an agent enough to call it correctly: what to do, on which object, and who is allowed. The only notable gaps are unstated versioning behavior and response format, but these are minor for such a simple operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the burden of explaining parameters. 'Rename it' maps title to the new dashboard name, and artifactId is reasonably inferable as the target dashboard identifier, but there is no explicit statement that artifactId identifies the dashboard to update or that title replaces the existing title. This is adequate but not thorough.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Update'), a specific resource ('a Duvo Pulse dashboard'), and narrows the action to renaming it rather than updating arbitrary settings. This separates it from create/delete/move/duplicate dashboard siblings, though it does not name an alternative explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives a clear use case: rename an existing Pulse dashboard. It also adds an explicit authorization condition, 'Only the creator can update it,' which helps an agent decide whether to attempt the call. It does not describe when to prefer a sibling tool like movePulseDashboard or createPulseDashboard, so it stops short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.