Get project
get_projectRetrieve full details for a single Azure DevOps project by supplying its name or ID.
Instructions
Fetch details of a single project.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project | Yes | Project name or id |
get_projectRetrieve full details for a single Azure DevOps project by supplying its name or ID.
Fetch details of a single project.
| Name | Required | Description | Default |
|---|---|---|---|
| project | Yes | Project name or id |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.1Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds minimal behavioral context beyond that—it does not address not-found behavior, response shape, or authentication requirements, though these are less critical given the strong annotation coverage.
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?
The description is a single, front-loaded sentence that conveys the essential verb, resource, and scope with no filler or redundant restatement of the title. Every word contributes to the meaning.
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?
For a simple read-only getter with one fully documented parameter and comprehensive safety annotations, the description is nearly complete. It does not describe the return payload or how name versus id is resolved, but the tool name and sibling context make the intended use reasonably clear.
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?
The schema description coverage is 100%, and the only parameter 'project' is clearly documented as 'Project name or id'. The description adds no additional parameter-level semantics beyond what the schema already provides, so the baseline score of 3 is appropriate.
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 states the specific action 'Fetch' and the resource 'details of a single project', which distinguishes it from list_projects and other list-based siblings. The word 'single' narrows the scope to a targeted retrieval rather than enumeration.
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 implies the tool is used when a single project's details are needed and the project can be identified by name or id, but it does not explicitly contrast with list_projects or other alternatives. There is no when-not-to-use guidance, so the agent must infer the appropriate context from the sibling tool names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/dockndevai/mcp-azure-devops'
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