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List Notifications

listNotifications
Read-onlyIdempotent

List notifications for the authenticated user's current team, most recent first. Filter with type, unread, severity or minSeverity (mutually exclusive), important, agentRunId, or processId; paginate with limit/cursor. Pass batchId to list only the live members of a notification batch, optionally ordered by sort=importance (only valid together with batchId). Requires the Notification Center feature; returns 404 when it is not enabled for the team.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoimportance orders by type importance then severity (only valid together with batchId); default recency.recency
typeNoOnly return notifications of this type. One of: connection_broken, critical_eval_issue, eval_issue, job_issue, job_done, background_job, schedule_issue.
limitNoNumber of notifications per page (1-100, default 30).
cursorNoOpaque cursor from the previous page's nextCursor. Omit for the first page.
unreadNoIf true, only return unread notifications.
batchIdNoOnly return live members of this notification batch.
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.
severityNoOnly return notifications with this severity. One of: info, warning, critical, success.
importantNoIf true, only return important notifications: unresolved connection_broken rows pinned until reconnected, removed, or dismissed.
processIdNoOnly return notifications about this Clarity process.
agentRunIdNoOnly return notifications about this agent run.
minSeverityNoOnly return notifications at or above this urgency. Least to most urgent: success < info < warning < critical. Mutually exclusive with severity.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety and idempotency. The description adds valuable behavioral context beyond that: the feature-gating (404 when disabled), the ordering guarantee, and the mutual-exclusivity constraint. It does not disclose return shape (no output schema), but the annotations lower the bar, and the added context justifies a 4.

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 dense but information-rich, front-loading the core action and then packing filter, pagination, batch, and feature constraints into three sentences without redundancy. Every clause earns its place, and the structure makes it easy for an agent to scan.

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 tool with 12 optional parameters and no output schema, the description covers the key invocation concerns: pagination, filter combinations, the batchId/sort rule, and the feature requirement. It does not describe the response envelope, but given the absence of an output schema and the presence of sibling tools for specific reads, this is a minor gap.

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 every parameter is documented in the schema with defaults, enums, and constraints. The description reinforces a few relationships (severity/minSeverity mutual exclusivity, batchId/sort coupling) but does not add substantial new meaning beyond what the schema already provides. At the high-coverage baseline, this is a 3.

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 opens with a specific verb and resource ('List notifications for the authenticated user's current team') and adds ordering ('most recent first'), making the core purpose unmistakable. It also enumerates the main filtering dimensions, which distinguishes it from more specialized siblings like getNotification or getNotificationFeed without needing to name them.

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 operational context: pagination via limit/cursor, mutual exclusivity of severity and minSeverity, and the special batchId/sort interaction ('only valid together with batchId'). It also flags a prerequisite (Notification Center feature) and the resulting 404. However, it does not explicitly contrast this tool against alternative list feeds like getNotificationFeed, so an agent might not immediately know which to prefer.

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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