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Snowflake Create Stream

snowflake_create_stream

Create a change data capture (CDC) stream on a Snowflake table or view to track inserts, updates, and deletes for downstream pipelines.

Instructions

Create a CDC stream on a table or view.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo
on_tableYes
append_onlyNo
schema_nameNo
stream_nameYes
if_not_existsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed9 schema fields changedv1.2.0
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / append_only / title
      Removed value: -"Append Only"
    • removedInput schema / properties / database / title
      Removed value: -"Database"
    • removedInput schema / properties / if_not_exists / title
      Removed value: -"If Not Exists"
    • removedInput schema / properties / on_table / title
      Removed value: -"On Table"
    • removedInput schema / properties / schema_name / title
      Removed value: -"Schema Name"
    • removedInput schema / properties / stream_name / title
      Removed value: -"Stream Name"
    • removedInput schema / title
      Removed value: -"snowflake_create_streamArguments"
    • removedOutput schema / title
      Removed value: -"snowflake_create_streamDictOutput"
  2. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=true, so safety is partly covered. The description adds no behavioral context: it does not explain CDC staleness, that if_not_exists defaults to true, what append_only changes, or what happens on failure.

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?

A single front-loaded sentence with no wasted words. It is structurally fine but so terse that it omits needed information, which is under-specification rather than true conciseness.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. However, for a six-parameter creation tool with zero schema coverage, the description omits parameter meaning, defaults, and prerequisites, leaving the agent under-informed.

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?

Six parameters with 0% schema description coverage, and the description mentions none of them. The meaning of append_only, if_not_exists, and the optional database/schema_name qualifiers is undocumented in both schema and description, so the description does not compensate for the coverage gap.

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?

States a specific verb ('Create') plus resource ('CDC stream') and names the supported target objects ('table or view'). It is distinguishable from siblings like snowflake_drop_stream and snowflake_read_stream_changes, though it does not explicitly contrast itself with them.

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 when-to-use guidance, no prerequisites (e.g., required privileges or that a stream must be refreshed/consumed), and no mention of alternatives such as drop_stream or read_stream_changes. The agent must infer all usage 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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