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get_dags_detailed_batch

Retrieve detailed information for multiple Airflow DAGs in a single batch, including the latest run data.

Instructions

[Tool Role]: Retrieves detailed information for multiple DAGs in batch with latest run information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
fetch_allNo
is_activeNo
is_pausedNo
id_containsNo
name_containsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description should disclose behavioral traits. However, it only states the general purpose and does not mention pagination, filtering, rate limits, or return format. The description lacks details needed for safe and effective invocation.

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

Conciseness3/5

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

The description is a single short sentence, which is concise but lacks structure. It does not front-load critical information such as return type or usage patterns. While not verbose, it is not optimally structured for quick comprehension.

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 7 parameters, no annotations, and an output schema (unseen), the description is incomplete. It fails to convey that the tool returns a list, how pagination works, what 'detailed information' includes, or filtering behavior. The description leaves significant gaps in understanding.

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

Parameters1/5

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

Schema description coverage is 0%, meaning no parameter descriptions in the schema. The tool description does not explain any parameter semantics. The agent must rely on parameter names alone, which is insufficient for 7 parameters with options like fetch_all, id_contains, etc.

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 detailed information for multiple DAGs in batch with latest run information. It uses a specific verb and resource, and distinguishes from siblings like list_dags and get_dag.

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 explicit guidance on when to use this tool versus alternatives. With siblings like list_dags, get_dag, running_dags, failed_dags, the description does not clarify the best use case or provide exclusions.

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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