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Update Slack Channel Trigger

updateSlackTrigger

Update a Slack channel trigger you own — repoint it at another channel, change which messages match, or pause and resume it with enabled. Only the supplied fields change. Resuming a paused trigger requires the Slack connection it runs off to still be available on the agent; changing the channel resets the trigger's seen-message state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enabledNoSet to false to pause the trigger without deleting it, or true to resume it. Resuming requires the connection the trigger uses to still be available on the agent.
channel_idNoNew Slack channel ID to watch. Omit to leave unchanged.
is_privateNoWhether the channel is private.
match_ruleNoWhich channel messages fire the trigger: `{"kind":"all"}` for every message, or `{"kind":"contains","values":["invoice"]}` to match keywords.
trigger_idYesThe Slack channel trigger's unique identifier
channel_nameNoNew Slack channel name, without the leading `#`.

TDQS

A4.6/5.0
Behavior5/5

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

Despite annotations being sparse (only readOnlyHint=false, idempotentHint=false, destructiveHint=false), the description adds significant behavioral detail: partial update semantics, ownership restriction, the requirement for connection availability when resuming, and the state reset on channel change. This goes well beyond the annotations and provides essential safety and side-effect information.

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 two sentences: the first front-loads the full scope, the second adds critical caveats. Every sentence delivers unique value with zero fluff, and the structure is easy to parse for an AI agent.

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 mutation tool with 6 parameters, no output schema, and no annotations beyond the basic hints, the description covers key aspects: partial updates, ownership, side effects (state reset), and a prerequisite (connection availability). It doesn't mention what the tool returns or error scenarios, but given the absence of an output schema and the richness of the schema descriptions, it is reasonably complete. A 5 would require return-value or error handling details.

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 schema already covers all parameters with detailed descriptions (100% coverage), so the baseline is 3. The description adds extra semantic context linking parameters to behavior ('repoint it at another channel' refers to channel_id/channel_name, 'change which messages match' refers to match_rule, 'pause and resume it with enabled'). This reinforces intent and clarifies how parameters affect state, justifying a 4.

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 verb 'Update' and the resource 'Slack channel trigger', and specifies what can be changed (channel, match rule, enabled state). It distinguishes from sibling tools like createAgentSlackTrigger or updateAgentCaseTrigger by emphasizing 'you own' and 'Slack channel trigger'.

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 context for when to use the tool: to modify an existing trigger you own. It includes implied exclusions (only your own triggers) and conditions ('Resuming a paused trigger requires the Slack connection...', 'changing the channel resets...'). However, it does not explicitly name alternatives like create or delete tools, so it falls 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.

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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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