finalizeCaseAttachmentConfirm an uploaded case attachment against storage. Answers with the attachment in its settled state — ready when the bytes are present, failed (with a reason) when the upload never completed.
| Name | Required | Description | Default |
|---|---|---|---|
| case_id | Yes | The case's unique identifier | |
| queue_id | Yes | The queue's unique identifier | |
| attachment_id | Yes | The attachment's unique identifier |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations only supply readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the description must explain behavior. It adds valuable context by stating that the tool verifies storage and returns a settled state with a failure reason. It does not fully disclose potential side effects of finalizing, but it does not contradict the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two front-loaded sentences with no filler. The core action and the resulting state variants are presented immediately, and every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description usefully explains the return semantics (ready/failed with reason). It is sufficient for an agent to select and invoke the tool with three self-descriptive UUID parameters, though it stops short of detailing side effects or error conditions.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and each parameter (case_id, queue_id, attachment_id) already has a clear 'unique identifier' description. The tool description adds no extra meaning about how the parameters relate to the confirmation, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies a specific verb and resource: 'Confirm an uploaded case attachment against storage.' It also defines the tool's unique response states (ready/failed), distinguishing it from upload-URL creation, listing, download, and deletion siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly situates the call after an upload attempt and defines when each outcome applies: 'ready when the bytes are present, failed ... when the upload never completed.' It does not explicitly name alternatives or exclusions, but the usage context is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.