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ado_list_prs

Read-only

[~] PRIORITY TRIGGER: Use this tool when user mentions 'PR', 'Pull Request', 'list PRs', 'show PRs', 'active PRs', 'mes PR', 'liste des PR', 'pull requests ouverts', 'what PRs are open', 'PRs by [author]', 'PRs targeting [branch]'. NEVER call search_d365_code for PR listing requests. List Pull Requests in an Azure DevOps Git repository. If repositoryId is unknown, omit it and all repositories will be listed first. Filters: status (Active/Completed/Abandoned/All), author display name, target branch. Returns: PR ID, title, author, source->target branch, review status, linked work items, creation date. Use ado_analyze_pr_impact with a PR ID to get full D365 code impact analysis. Requires DEVOPS_ORG_URL + DEVOPS_PAT (Code: Read scope).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoMax results to return (1-100, default 25).
authorNoOptional: filter by author display name (partial match), e.g. 'Alim'.
statusNoPR status filter: Active (default), Completed, Abandoned, All.Active
projectNoOptional: Azure DevOps project name. Falls back to DEVOPS_PROJECT env var.
repositoryIdNoGit repository name or ID. If not known, leave empty to list all repos first.
targetBranchNoOptional: filter by target branch, e.g. 'main', 'develop'.

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds valuable behavior beyond that: omitting repositoryId lists all repositories first, requires DEVOPS_ORG_URL + DEVOPS_PAT with Code: Read scope, and summarizes the return fields. This adds meaningful context without contradicting 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.

Conciseness4/5

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

The description is fairly long but front-loaded with the PRIORITY TRIGGER and exclusion warning, followed by the core function, filters, return values, and prerequisites. Every section earns its place, though the long trigger list could arguably be trimmed. Overall it is dense but structured and efficient.

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 compensates by listing the returned fields (PR ID, title, author, branches, review status, work items, creation date). It also covers triggers, exclusions, behavior, filters, auth requirements, and related tools. For a read-only listing tool, everything an agent needs to select and invoke it correctly is present.

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%, giving a solid baseline of 3. The description adds value by summarizing the supported filters (status, author, target branch) and restating the repositoryId fallback behavior in natural language. This reinforces parameter meaning without duplicating every schema detail.

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 and resource: 'List Pull Requests in an Azure DevOps Git repository'. It clearly distinguishes itself from siblings by explicitly prohibiting search_d365_code for PR listing and by pointing to ado_analyze_pr_impact for impact analysis. An agent can immediately tell what this tool does and how it differs from similar tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

A PRIORITY TRIGGER block lists concrete user phrasings that should route to this tool, and the description explicitly says 'NEVER call search_d365_code for PR listing requests'. It also names ado_analyze_pr_impact as the follow-up tool for impact analysis, giving clear when-to-use and when-not-to-use guidance.

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.