Skip to main content
Glama
Azure DevOps MCP Server
by billg118

list_projects

Retrieves all projects in an Azure DevOps organization, with optional state filters and pagination so AI assistants can discover and navigate available projects.

Instructions

List all projects in an organization

Input Schema

NameRequiredDescriptionDefault
topNoMaximum number of projects to return
skipNoNumber of projects to skip
stateFilterNoFilter on team project state (0: all, 1: well-formed, 2: creating, 3: deleting, 4: new)
organizationIdNoThe ID or name of the organization (Default: example-org)
continuationTokenNoGets the projects after the continuation token provided

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 provided, so the description carries the full behavioral burden, yet it says nothing about pagination defaults, whether results are capped, what happens when 'top'/'skip'/'continuationToken' are omitted, or what permissions are required. For a paged list operation with five optional controls, that is a meaningful gap.

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?

A single front-loaded sentence with no wasted words, though the brevity edges into under-specification rather than tight economy.

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

Completeness2/5

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

With no annotations, no output schema, and five optional paging/filter parameters, the description should explain paging behavior and the shape of the returned project list. It does none of that, leaving the agent to guess how to iterate through results.

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 every parameter including the stateFilter enum values and the continuationToken is already documented in the schema. The description adds only the organizational scope, which the organizationId field already conveys, so baseline 3 applies.

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?

States a specific verb and resource ('List all projects') and scopes it to an organization, which is enough to separate it from get_project, get_project_details, and list_organizations. It stops short of distinguishing list-style project retrieval from the detail endpoints by name.

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 and no mention of alternatives such as get_project for a single project or list_organizations for the parent scope. The agent must infer that this is the enumeration entry point from the name alone.

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