Skip to main content
Glama

get_build_logs

Retrieve build logs from Azure DevOps to analyze errors and identify the cause of build failures.

Instructions

Get build logs - useful for analyzing build errors and failures

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
logIdNoSpecific log ID (omit to get log list first)
buildIdYesBuild ID
projectNoProject name
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 burden. It only states 'Get build logs' without disclosing return format, pagination, auth requirements, or other behavioral details. This is a significant gap for a tool with no 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.

Conciseness5/5

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

The description is a single, front-loaded sentence with no excess words. It efficiently communicates the verb, resource, and a primary use case.

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 no output schema, no annotations, and a very brief description, the tool lacks essential context about return values and how it relates to sibling tools like get_build or analyze_build_errors. The minimal description is insufficient for an agent to fully understand the tool's behavior.

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?

All three parameters are fully described in the schema (100% coverage), so the description doesn't need to add parameter details. The description adds no extra meaning beyond the schema, so the baseline of 3 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 uses a specific verb ('Get') and resource ('build logs') and adds the use case of analyzing build errors. It clearly states what the tool does, but doesn't explicitly differentiate from sibling tools like analyze_build_errors, so it falls short of a 5.

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 phrase 'useful for analyzing build errors and failures' provides a clear context for when to use the tool, but it doesn't mention alternatives or exclusions. This is implied usage rather than explicit guidance on when not to use it.

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/elad-nofy/azure-devops-mcp'

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