Skip to main content
Glama

Update Agent Case Trigger

updateAgentCaseTrigger

Update fields on a case trigger. Only the trigger creator or a builder/admin can disable an enabled trigger or change its queue, and only a builder/admin can change queue concurrency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enabledNoWhether the trigger is active. Disabled triggers do not dispatch runs.
agent_idYesThe agent's unique identifier
trigger_idYesThe case trigger's unique identifier
concurrencyNoConcurrency cap for the trigger's queue. The cap is queue-wide, so this affects every Agent working the queue, not just this trigger. Only 1 (run cases one at a time) or null (reset the whole queue's cap to the platform default) can be set here; higher caps are configured per-queue via PATCH /v2/admin/case-queues/{queueId}/concurrency. Omit to leave the current value unchanged.
case_queue_idNoQueue whose new cases should trigger this agent

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate readOnly=false, destructive=false, and idempotent=false. The description adds meaningful behavioral context about authorization requirements for specific field changes, which is not captured in the annotations. It does not describe side effects, but the low-risk annotations reduce the need for that.

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?

Two sentences with no filler. The first sentence states the action, and the second adds the key permission constraints. Every word 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?

For a straightforward update operation with a fully documented schema, the description covers the important constraints. It does not describe the return value, but no output schema exists and that is a minor gap for an update tool.

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?

Schema description coverage is 100%, so the baseline is 3. The description goes beyond the schema by clarifying role-based permissions for enabled, case_queue_id, and concurrency, telling agents which fields they may be allowed to change.

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 states a specific verb ('Update') and resource ('fields on a case trigger'), which clearly distinguishes it from create/delete/get/list siblings. It conveys that this modifies an existing case trigger rather than creating or removing one.

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 permission context: only the trigger creator or a builder/admin can disable or change the queue, and only a builder/admin can change concurrency. This helps an agent decide whether the call is permitted, though it does not explicitly name alternatives like createAgentCaseTrigger.

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