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get_task_instances

Retrieve task instances for a specific DAG run to inspect their state, duration, and operator.

Instructions

Get individual task instances for a specific DAG run.

Args:
    dag_id: The DAG identifier.
    run_id: The DAG run identifier.

Returns the list of tasks with their state, duration, and operator.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idYes
run_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description bears the burden of disclosing behavior. It states the return format (list with state, duration, operator) but does not mention side effects, auth requirements, or error scenarios. The safety profile (read-only) is implied but not explicit.

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 concise: one sentence for purpose, followed by parameter definitions and return statement. It is front-loaded and contains no redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema (though not shown), the description covers the essential return details. It lacks mention of pagination or error handling, but for a simple retrieval tool with few parameters, it is mostly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides no descriptions (0% coverage), so the description fully compensates by defining dag_id as 'The DAG identifier' and run_id as 'The DAG run identifier.' These are brief but add meaning beyond the schema's type-only definitions.

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

Purpose5/5

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

The description clearly states the tool retrieves individual task instances for a specific DAG run, which is a distinct function from siblings like get_dag_run_status or get_dag_runs_today. It uses a specific verb ('Get') and resource ('task instances').

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 does not mention when it is appropriate to retrieve task instances compared to other DAG-related queries, leaving the 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.

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