MCP Server for Azure DevOps

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Get release details' implies a read-only operation, but it doesn't specify whether this requires authentication, has rate limits, returns structured data, or handles errors. For a tool with no annotation coverage, this is a significant gap in describing its behavior beyond basic purpose.

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 extremely concise at three words, with zero wasted text. It's front-loaded and to the point, making it easy to parse quickly. Every word earns its place by conveying the core action, though this brevity comes at the cost of detail.

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?

Given the tool's complexity (a read operation with 2 parameters, no output schema, and no annotations), the description is incomplete. It doesn't explain what 'release details' include, how results are formatted, or any behavioral traits like error handling. For a tool without structured output or annotations, more context is needed to guide effective use.

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 input schema has 100% description coverage, with clear documentation for both parameters ('project' and 'releaseId'). The description adds no additional meaning beyond what the schema provides, such as explaining parameter interactions or default behaviors. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 'Get release details' states a clear verb ('Get') and resource ('release details'), which is better than a tautology. However, it's vague about what specific details are retrieved and doesn't distinguish this tool from sibling tools like 'list_releases' or other 'get_' tools that fetch different resources. It lacks specificity about scope or content of the details.

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 provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, such as needing a release ID, or comparison to sibling tools like 'list_releases' for browsing releases. Usage is implied by the tool name but not explicitly stated, leaving gaps for an AI agent to infer context.

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