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Tiberriver256

Azure DevOps MCP Server

pipeline_timeline

Retrieve pipeline run timeline with stages and jobs. Filter by state or result to reduce data and focus on specific records.

Instructions

Retrieve the timeline of stages and jobs for a pipeline run, to reduce the amount of data returned, you can filter by state and result

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoThe ID or name of the project (Default: MyProject)
runIdYesRun identifier
timelineIdNoOptional timeline identifier to select a specific timeline record
pipelineIdNoOptional pipeline numeric ID for reference only
stateNoOptional state filter (single value or array) applied to returned timeline records
resultNoOptional result filter (single value or array) applied to returned timeline records
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It implies a read-only operation ('retrieve') and mentions data reduction via filters, but does not disclose potential side effects, permissions, or output size limits.

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

Conciseness5/5

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

The description is a single concise sentence that front-loads the main action and includes a practical usage tip. No wasted words.

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 6 parameters and no output schema or annotations, the description is insufficient. It does not explain the return format, pagination, error handling, or how stages and jobs are structured in the timeline.

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 coverage is 100%, so each parameter is already described. The description adds minimal extra meaning, only clarifying that filtering reduces returned data. Baseline is appropriate.

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 clearly states the tool retrieves the timeline of stages and jobs for a pipeline run, which is specific and distinct from sibling tools like get_pipeline_run or list_pipeline_runs. However, it does not explicitly differentiate itself from siblings.

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

Usage Guidelines3/5

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

The description mentions filtering by state and result to reduce data, providing some usage guidance. But it lacks explicit when-to-use or when-not-to-use context, and does not reference alternative tools.

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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