Skip to main content
Glama
Tiberriver256

Azure DevOps MCP Server

get_pipeline_log

Retrieve a specific pipeline log from an Azure DevOps pipeline run using the timeline log identifier. Supports optional line range and format selection (plain or JSON) for targeted log analysis.

Instructions

Retrieve a specific pipeline log using the timeline log identifier

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoThe ID or name of the project (Default: MyProject)
runIdYesPipeline run identifier
logIdYesLog identifier from the timeline record
formatNoOptional format for the log contents (plain or json)
startLineNoOptional starting line number for the log segment
endLineNoOptional ending line number for the log segment
pipelineIdNoOptional pipeline numeric ID for reference only
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It only says 'retrieve', which implies a read operation, but does not discuss side effects, handling of optional parameters, error scenarios, or response format. The description is too minimal to be transparent.

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, clear sentence that directly conveys the tool's purpose without any extraneous words. Every word earns its place.

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?

Given the tool has 7 parameters and no output schema or annotations, the description is too brief to be complete. It does not provide context about return values, how the parameters interplay, or how this fits into the pipeline log workflow. The schema helps but the description itself leaves gaps.

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?

Since schema description coverage is 100%, each parameter is already documented clearly in the schema (e.g., logId: 'Log identifier from the timeline record'). The tool description adds no additional semantics or usage tips beyond that, meeting the baseline of 3.

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 a pipeline log using a timeline log identifier, providing a specific verb and resource. However, it does not differentiate from sibling tools like pipeline_timeline or get_pipeline_run, which may also deal with logs, so it could be more distinctive.

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?

The description provides no guidance on when to use this tool versus alternatives such as pipeline_timeline or get_pipeline_run. It does not mention prerequisites, limitations, or usage context, leaving the agent without direction.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Tiberriver256/mcp-server-azure-devops'

If you have feedback or need assistance with the MCP directory API, please join our Discord server