Skip to main content
Glama

List Pulse Dashboards

listPulseDashboards
Read-onlyIdempotent

List your Duvo Pulse dashboards (live, agent-generated visualizations of your Duvo data), most recently updated first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results per page (1-100, default 20)
scopeNoWhich dashboards to return: 'created' (yours, the default), 'team' (published to your whole team by a teammate), or 'shared' (shared with you individually by a teammate).created
offsetNoNumber of results to skip

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful context about the nature of Pulse dashboards and the ordering, but it does not disclose additional behavioral traits such as pagination details or potential side effects, which are minor given the read-only nature.

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 a single, compact sentence that conveys the core purpose and a key sorting detail. It contains no filler or redundant information, and the parenthetical adds value by explaining what Pulse dashboards are.

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 simple, read-only list tool with a fully documented schema and clear annotations, the description is nearly complete. It explains what is returned and the default ordering. The only minor gap is that the phrase 'your dashboards' could be misinterpreted as only dashboards created by the user, while the scope parameter also allows 'team' and 'shared' variants; however, the schema clarifies 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%, with each parameter (limit, scope, offset) fully described including defaults and enum values. The description does not add parameter-specific semantics beyond the schema, but it does give contextual meaning to 'your' dashboards and the ordering, which aligns with the default scope. Baseline 3 is appropriate.

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 action ('List') and the resource ('Duvo Pulse dashboards'), with a clarifying parenthetical explaining what these are. It also distinguishes from sibling list tools by specifying 'dashboards' and the ordering ('most recently updated first').

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 description implies when to use this tool (when you need to list dashboards), but it does not explicitly mention alternatives or exclusions. For example, it does not say 'use getPulseDashboard for a single dashboard' or clarify when to choose this over listPulseDashboardVersions. The usage context is clear but not fully guided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources