Duvo MCP

Create Skill Revision

createSkillRevision

Idempotent

Open a draft revision of a skill, copying its files from the active revision (or from source_revision_id). Edit the draft with updateSkillRevisionFile, then activate it with promoteSkillRevision — the previously active revision stays intact and can be re-activated later. A skill has at most one open draft: if one already exists this returns it with created: false.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`skill_id`	Yes	Skill ID.
`source_revision_id`	No	Revision to fork the new draft from. Defaults to the live revision (or the skill's current files if there is no live revision yet).

Schema Changelog

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

First observedAug 17, 2026

TDQS

A4.5/5.0

Behavior5/5

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

Annotations already indicate an idempotent, non-destructive, read-write operation, and the description adds valuable context: files are copied from the active revision, the previously active revision remains intact and re-activatable, and an existing draft is returned with created: false. This prevents the agent from assuming duplicate creation or destructive overwrite.

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?

Three sentences deliver purpose, workflow, and idempotence behavior without redundancy. The main action is front-loaded, and every sentence contributes unique information needed to use the tool correctly.

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?

With no output schema, the description still explains the return semantics (returns the draft with created: false for existing drafts), the file-copy behavior, and the lifecycle relationship to edit and promote operations. Nothing essential for invoking it correctly is missing.

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 coverage is 100%, so the schema already documents both parameters fully. The description's mention of copying from the active revision or source_revision_id adds minimal meaning beyond the existing schema descriptions, so the baseline score of 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 states a specific action ('Open a draft revision of a skill'), explains the copy source, and clarifies the create-or-get behavior. It explicitly names companion operations (updateSkillRevisionFile, promoteSkillRevision), making it distinguishable from other revision-related tools.

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 embeds the tool in a clear workflow: open a draft, edit it, then promote it. It also warns about the one-open-draft constraint and the existing-draft fallback. However, it does not explicitly contrast this with related tools such as createRevision, so exclusion guidance is incomplete.

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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