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snowflake_list_pipes

List Snowpipes in a database or schema to view configured data pipelines. Filter by database, schema, or pattern to identify pipe definitions for monitoring or troubleshooting.

Instructions

List Snowpipes configured in a database or schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternNo
databaseNo
schema_nameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations present, the description carries the full burden of behavioral disclosure. It only states the action (list) and does not explain result ordering, pagination, required permissions, or how the optional filters affect output. This is a significant gap for a read operation.

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 a single, concise sentence that front-loads the core purpose. It contains no filler and is appropriately sized for a simple list operation.

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?

Despite having an output schema, the description omits parameter semantics and any usage context. For a tool with three optional filtering parameters and zero schema documentation in the description, an agent is left to guess how to scope the listing, making it incomplete for confident invocation.

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%, so the description must explain the parameters (pattern, database, schema_name) to compensate. It fails to do so—no hints about what 'pattern' means (e.g., LIKE syntax) or how database/schema scoping works. An agent cannot construct meaningful arguments without external knowledge.

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 clearly states the verb 'list' and resource 'Snowpipes' with scope 'in a database or schema', making the tool's purpose unambiguous. It distinguishes from describe_pipe by indicating enumeration, though it doesn't explicitly name alternatives.

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?

The description provides no guidance on when to use this tool versus related tools like snowflake_describe_pipe or snowflake_get_pipe_status, nor does it mention prerequisites or typical use cases. An agent gets no context for selection.

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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