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jonasliesas

singlestore-mcp-server

by jonasliesas

drop_pipeline

Delete a SingleStore pipeline, automatically stopping it if running, with optional IF EXISTS to avoid errors.

Instructions

Delete a pipeline. Running pipelines are stopped automatically before being dropped.

Args:
    pipeline_name: Name of the pipeline to drop.
    database: Database the pipeline lives in (defaults to the
        connection's configured database).
    if_exists: Add IF EXISTS so dropping a nonexistent pipeline is a
        no-op instead of an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo
if_existsNo
pipeline_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It usefully reveals the automatic stopping of running pipelines and that if_exists turns failure into a no-op. It does not explicitly warn that deletion is permanent or mention permission requirements, but the core side effects are disclosed.

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 compact and front-loads the primary purpose in the first sentence. The Args block is organized and every sentence contributes useful guidance with no filler.

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?

The description covers the essential operation, side effects, and parameter semantics, and an output schema exists so return-value documentation is not required. It is nearly complete, though a brief note about irreversibility would have fully closed the gap for a destructive action with no annotations.

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

Parameters5/5

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

Schema description coverage is 0%, so the description fully compensates by explaining all three parameters: pipeline_name's role, database's default to the connection database, and if_exists's no-op behavior. This adds real meaning beyond the raw schema.

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 opens with 'Delete a pipeline,' a specific verb and resource that clearly identifies the operation. It also notes that running pipelines are stopped automatically, which differentiates dropping from simply stopping a pipeline.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for permanent removal and explains that running pipelines are stopped as part of the drop. However, it does not explicitly contrast drop_pipeline with stop_pipeline or state when dropping is inappropriate.

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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