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Azure DevOps MCP Server
by billg118

list_repositories

Lists repositories in an Azure DevOps project, helping AI assistants discover available code repositories and optionally include reference links.

Instructions

List repositories in a project

Input Schema

NameRequiredDescriptionDefault
projectIdNoThe ID or name of the project (Default: no default project)
includeLinksNoWhether to include reference links
organizationIdNoThe ID or name of the organization (Default: example-org)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.54

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden, yet it discloses nothing beyond the operation itself. It does not state that the call is read-only, whether results are paginated or truncated, what fields a repository entry contains, or what happens when projectId is omitted despite the schema hinting there is no default project.

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

Conciseness3/5

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

The single sentence contains no wasted words and the operation is front-loaded, which is structurally sound. However, its extreme brevity is under-specification rather than disciplined conciseness for a tool with three optional parameters and no annotations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is inherently simple — a read-only listing with three optional, fully documented parameters and no output schema — so the description need not enumerate return fields. Still, with no annotations and no statement of result shape, paging, or default scoping, an agent is left guessing about the response and the no-default-project edge case.

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 description coverage is 100%, so all three parameters (projectId, includeLinks, organizationId) are already documented in the schema, setting the baseline at 3. The description adds no meaning about parameter interaction, such as how projectId resolves against organizationId or what effect includeLinks has on the payload.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb plus resource ("List repositories") and a scope ("in a project"), which is enough to distinguish it from get_repository or get_repository_details. It does not differentiate from the closest sibling, get_all_repositories_tree, which likely also enumerates repositories, so it falls short of a 5.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no exclusions, and no mention of alternatives such as get_all_repositories_tree or get_repository_details. The usage context is only implied by the phrase "in a project", leaving the agent to infer when this enumeration is preferred over the other listing tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.