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pipelines_list

Read-only

List Databricks pipelines with optional filter by name, pagination via page token, and configurable max results.

Instructions

List pipelines (GET /api/2.0/pipelines).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_resultsNo
page_tokenNo
filterNoA SQL-like filter expression, e.g. "name LIKE 'sales%'"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already provide readOnlyHint=true, indicating a safe read operation. The description adds the HTTP method and endpoint, which is minor extra context. It does not disclose pagination behavior or rate limits.

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?

Description is very concise, front-loaded, and to the point. However, it is overly brief, lacking essential context for a list tool.

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

Completeness3/5

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

Given the tool has an output schema and 3 parameters, the description is minimally adequate. It does not explain pagination (max_results, page_token) or filtering details beyond what the schema provides, leaving gaps for effective use.

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

Parameters2/5

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

Schema coverage is only 33% (only 'filter' has a description). The description does not mention any parameters, so it adds no meaning beyond the schema. For low coverage, the description should compensate but fails to do so.

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?

Description clearly states the tool lists pipelines, using the verb 'List' and resource 'pipelines'. It distinguishes from sibling tools like pipelines_create or pipelines_delete, but lacks context like scope or filtering capabilities.

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 on when to use this tool over alternatives. There are many sibling tools for pipelines (create, delete, edit, get), but the description does not specify usage context, such as retrieving all pipelines vs a specific one.

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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