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Dynamic Tables Resume Dynamic Table

dynamic_tables_resume_dynamic_table
Idempotent

Resumes scheduling for a Snowflake dynamic table and reports lag status, so you can restore automated refreshes and monitor backlog.

Instructions

Resume scheduling and lag monitoring for a dynamic table.

Input Schema

NameRequiredDescriptionDefault
databaseNoQuote names that aren't all uppercase, exactly as list tools return them.
table_nameYesQuote names that aren't all uppercase, exactly as list tools return them.
schema_nameNoQuote names that aren't all uppercase, exactly as list tools return them.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv3.0.0
    • addedInput schema / properties / database / description
      Added value: +"Quote names that aren't all uppercase, exactly as list tools return them."
    • addedInput schema / properties / schema_name / description
      Added value: +"Quote names that aren't all uppercase, exactly as list tools return them."
    • addedInput schema / properties / table_name / description
      Added value: +"Quote names that aren't all uppercase, exactly as list tools return them."
  2. Addedv2.0.4

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that: it does not state the required prior state, permission needs, side effects on refresh history, or what 'lag monitoring' entails, which matters for a state-changing 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?

A single front-loaded sentence with no filler. It is efficient, though its brevity is partly the source of the ambiguity noted elsewhere rather than a stylistic strength.

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?

An output schema exists, so return values need not be explained, and the parameter set is fully documented. However, for a state-changing lifecycle operation, the description omits the preconditions and effects an agent would want before invoking it, leaving it only minimally sufficient.

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

Parameters3/5

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

Schema description coverage is 100%, so database, table_name and schema_name are already documented with quoting guidance. The description adds no further meaning about how these identify the table, so the baseline 3 applies.

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 names a specific verb ('Resume') and resource ('a dynamic table'), so it is clearly distinguishable from the sibling dynamic_tables_suspend_dynamic_table. The phrase 'scheduling and lag monitoring' adds a hint of what resuming restores, though it is slightly ambiguous as to whether the tool resumes the table or merely reports lag.

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 is given on when to use this tool versus alternatives, nor any prerequisite such as the table needing to be in a suspended state. The obvious alternative (dynamic_tables_suspend_dynamic_table) is never mentioned, leaving the agent to infer the suspend/resume pairing.

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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