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manage_pipelines

Manage Azure DevOps CI/CD pipelines to list, trigger, and monitor builds, runs, logs, and configurations.

Instructions

Manage Azure DevOps CI/CD pipelines. Actions: 'list', 'get', 'list_runs', 'get_run', 'get_logs', 'get_log', 'get_build_changes', 'list_definitions', 'list_variable_groups', 'get_variable_group', 'list_environments', 'trigger'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform: 'list', 'get', 'list_runs', 'get_run', 'trigger', 'get_logs', 'get_log', 'get_build_changes', 'list_definitions', 'list_variable_groups', 'get_variable_group', 'list_environments'
project_keyNoProject name (required)
pipeline_idNoPipeline ID (required for get, list_runs, trigger, get_logs, get_log)
run_idNoRun ID (required for get_run, get_logs, get_log)
log_idNoLog ID (required for get_log)
build_idNoBuild ID (required for get_build_changes)
branchNoBranch name to run pipeline on (for trigger)
topNoMax results to return
group_idNoVariable group ID (required for get_variable_group)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It lists actions but doesn't explain what each action does, whether they are read-only or mutative, what permissions are required, rate limits, or error handling. For a tool with multiple potential operations including 'trigger' (which implies mutation), this is inadequate.

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

Conciseness4/5

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

The description is brief and front-loaded with the main purpose, followed by a comma-separated list of actions. It avoids unnecessary verbiage, though the list format could be slightly more structured for readability.

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?

For a tool with 9 parameters, no annotations, no output schema, and multiple possible actions (including mutative ones like 'trigger'), the description is insufficient. It doesn't explain return values, error conditions, or behavioral nuances, leaving significant gaps for an AI agent to understand how to use it effectively.

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 description coverage is 100%, so the schema fully documents all 9 parameters. The description adds no additional parameter semantics beyond listing action names that correspond to the 'action' parameter enum. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool manages Azure DevOps CI/CD pipelines and lists specific actions, providing a general purpose. However, it lacks specificity about what 'manage' entails beyond listing actions, and doesn't differentiate from sibling tools like manage_projects or manage_work_items that might also involve pipeline-related operations.

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?

No guidance is provided on when to use this tool versus alternatives. The description merely lists actions without indicating which sibling tools might be more appropriate for related tasks (e.g., manage_projects for project-level operations). There's no mention of prerequisites or contextual constraints.

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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