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ado_update_workitem

Update one or more fields on an existing Azure DevOps Work Item. Can update any standard field (System.Description, System.Title, System.State, System.AssignedTo, ...) or custom field (Custom.Extensionlifecyclestatus, ...) using its Field Reference Name. Triggers: 'mets à jour la description du workitem', 'change le state', 'update field', 'post ça en description'. Always show the user what will be changed and ask for confirmation before calling. Requires DEVOPS_PAT with Work Items: Write permission.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNoOptional: Azure DevOps project name.
fieldsJsonYesJSON object mapping Field Reference Names to values. Examples: {"System.Description":"<p>New desc</p>"} or {"System.State":"Active","Custom.MyField":"value"}. Use HTML for Description/ReproSteps. Standard field refs: System.Title, System.State, System.AssignedTo (email), System.AreaPath, System.Tags, System.Description, Microsoft.VSTS.Common.Priority, Microsoft.VSTS.TCM.ReproSteps.
workItemIdYesWork item ID to update.

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It discloses that the operation requires a write-scoped DEVOPS_PAT and mandates that the agent show changes and ask for confirmation before invoking, which are meaningful behavioral guardrails for a mutation tool. It does not describe return values or overwrite semantics, so it is not a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core action, then gives field scope, trigger phrases, a safety instruction, and permission requirement. Each sentence earns its place, though the trigger list adds some length.

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?

The description, combined with the well-documented schema, gives an agent the required parameters, optional project, permission requirements, and a confirmation protocol. It does not explain the return value or behavior on invalid field references, but this is a simple mutation tool and the provided information is sufficient for a correct invocation.

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 main description adds value by explaining that any standard or custom field can be updated via Field Reference Name, reinforcing the schema's examples and making the flexibility explicit.

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 opens with a specific verb and resource: 'Update one or more fields on an existing Azure DevOps Work Item.' It clearly differentiates this from sibling creation, query, and comment tools, and further clarifies scope by naming standard and custom field reference names.

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 concrete trigger phrases in both English and French ('update field', 'mets à jour la description du workitem') to signal when the tool is appropriate, and it states the permission requirement. It does not explicitly contrast with alternatives like ado_create_task, but the context is clear enough for an agent to select this tool.

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

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes and clear triggers, reducing ambiguity. For example, PR-related tools are separated into analysis, listing, commenting, and dependency mapping. However, some overlap exists between find_references, find_extensions, and find_callers, which could confuse an agent without careful descriptions.

Naming Consistency4/5

Tool names follow a consistent snake_case pattern with verb_noun structure within subgroups (e.g., ado_*, find_*, search_*, generate_*). There is no mixing of camelCase or other styles, though the variety of prefixes slightly reduces predictability.

Tool Count3/5

With 38 tools, the server feels slightly over-scoped for its domain. While each tool has a specific function, the number is high compared to typical well-scoped servers (10-15 tools). Some tools like find_references and find_callers could be consolidated.

Completeness4/5

The tool set covers a broad range of D365 F&O development and DevOps tasks, including code search, analysis, security, performance, upgrades, and work item management. Minor gaps exist, such as the absence of direct object modification or batch job management, but the core workflows are well covered.