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Get Notification Feed

getNotificationFeed
Read-onlyIdempotent

List the notification feed for the authenticated user's current team, most recent activity first. Each item is either an individual notification or a notification batch (a per-agent group of job_issue/eval_issue/job_done/schedule_issue notifications). Filter with type, unread, and either severity (exact match) or minSeverity (threshold; the two are mutually exclusive); paginate with limit/cursor. Either severity filter also narrows a surfaced batch's counts to its qualifying members, and hides a batch with no qualifying live member. The feed is eventually consistent — a batch's counts can lag a concurrent write by one page fetch. Requires the Notification Center feature; returns 404 when it is not enabled for the team.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoOnly return individual notifications of this type and batches with at least one live member of it.
limitNo
agentsNoWhen 'mine', only return notifications for agents the authenticated user created. connection_broken notifications are always returned regardless, because they are not about an agent: a broken connection is only notified to the people who can act on it or escalate it, so filtering by agent authorship would hide it from the reader it was addressed to.
cursorNo
unreadNoIf true, only return unread individual notifications and batches with at least one unread live member.
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 individual notifications with exactly this severity, and batches with at least one live member of it. A batch's counts then describe only those members. Mutually exclusive with minSeverity. One of: info, warning, critical, success.
minSeverityNoOnly return individual notifications at or above this urgency, and batches with at least one live member at or above it. A batch's counts and worst severity then describe only its members at or above the threshold. Least to most urgent: success < info < warning < critical. Mutually exclusive with severity.

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / properties / type / enum
      Previous value: -[
      -  "connection_broken",
      -  "case_failed",
      -  "critical_case_issue",
      -  "case_issue",
      -  "critical_eval_issue",
      -  "eval_issue",
      -  "job_issue",
      -  "job_done",
      -  "background_job",
      -  "schedule_issue"
      -]New value: +[
      +  "connection_broken",
      +  "case_failed",
      +  "critical_case_issue",
      +  "case_issue",
      +  "critical_eval_issue",
      +  "eval_issue",
      +  "job_issue",
      +  "job_done",
      +  "background_job",
      +  "schedule_issue",
      +  "config_proposal"
      +]
  2. Changed1 schema field changed
    • changedInput schema / properties / type / enum
      Previous value: -[
      -  "connection_broken",
      -  "critical_eval_issue",
      -  "eval_issue",
      -  "job_issue",
      -  "job_done",
      -  "background_job",
      -  "schedule_issue"
      -]New value: +[
      +  "connection_broken",
      +  "case_failed",
      +  "critical_case_issue",
      +  "case_issue",
      +  "critical_eval_issue",
      +  "eval_issue",
      +  "job_issue",
      +  "job_done",
      +  "background_job",
      +  "schedule_issue"
      +]
  3. Changed1 schema field changed
    • changedInput schema / properties / type / enum
      Previous value: -[
      -  "connection_broken",
      -  "job_issue",
      -  "eval_issue",
      -  "job_done",
      -  "background_job",
      -  "schedule_issue"
      -]New value: +[
      +  "connection_broken",
      +  "critical_eval_issue",
      +  "eval_issue",
      +  "job_issue",
      +  "job_done",
      +  "background_job",
      +  "schedule_issue"
      +]
  4. Changed1 schema field changed
    • changedInput schema / properties / agents / description
      Previous value: -"When 'mine', only return notifications for agents the authenticated user created. connection_broken notifications are always returned regardless, because a broken connection is everyone's to fix."New value: +"When 'mine', only return notifications for agents the authenticated user created. connection_broken notifications are always returned regardless, because they are not about an agent: a broken connection is only notified to the people who can act on it or escalate it, so filtering by agent authorship would hide it from the reader it was addressed to."
  5. First observed

TDQS

A4.4/5.0
Behavior5/5

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

The annotations already mark the call read-only, idempotent, and non-destructive, and the description adds substantial runtime behavior beyond that: batch grouping semantics, severity filters narrowing batch counts and hiding empty batches, eventual consistency with counts lagging by one page fetch, and a 404 when the feature is disabled. This is excellent behavioral disclosure.

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 well organized: it starts with what the tool returns, then covers item composition, filtering and pagination, batch-count effects, and operational caveats. Every sentence earns its place, and there is no redundant restatement of schema details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema and a complex batch/feed model, the description covers all operationally important aspects: scope, ordering, item types, filters, pagination, batch behavior, eventual consistency, and feature availability. An agent has enough context to select and invoke this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already documents most parameters well (75% coverage). The description adds value by summarizing the filter model, making the exact-match vs threshold distinction and mutual exclusivity of severity and minSeverity explicit, and identifying limit/cursor as the pagination mechanism, which the schema leaves undescribed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a concrete action and resource: list the authenticated user's current-team notification feed, most recent activity first, and it explains that items are individual notifications or batches. However, it does not explicitly differentiate itself from closely related siblings like listNotifications, getNotificationBatch, or getNotificationCounts.

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 gives strong contextual guidance: it targets the current team's feed, supports filters and pagination, and warns that the Notification Center feature must be enabled or the call returns 404. It does not explicitly say when to use this tool instead of the sibling notification tools, so it lacks explicit alternative routing.

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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