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snowflake_suspend_dynamic_table

Suspend automated refresh and lag evaluation for a dynamic table to pause its scheduled updates.

Instructions

Suspend automated refresh and lag evaluation for a dynamic table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo
table_nameYes
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 provided, the description carries the full burden of behavioral disclosure. It states the effect (suspending refresh and lag evaluation) but does not mention side effects, reversibility, permissions, or impact on data. For a mutation tool, this is incomplete and leaves significant behavioral uncertainty.

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?

A single, concise sentence that front-loads the core action. There is no waste, and the description is efficiently structured for quick parsing.

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?

Given the absence of annotations and the existence of an output schema, the description should provide more context about prerequisites, what happens after suspension, and how to reverse the operation. It only covers the basic action, leaving gaps that could lead to incorrect usage for a mutation tool. The input schema is simple but the description does not address any surrounding context.

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%, meaning the description provides no explanation of the parameters (database, schema_name, table_name). The schema itself only offers names and defaults, not semantics. The description fails to compensate for the lack of parameter documentation, leaving agents to guess the meaning and required format of each argument.

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 clearly states the verb 'Suspend' and the specific resource and action: 'automated refresh and lag evaluation for a dynamic table.' This distinguishes it from sibling tools like resume_dynamic_table and refresh_dynamic_table, making its purpose unambiguous.

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 does not explicitly state when to use this tool versus alternatives such as resume_dynamic_table or refresh_dynamic_table. While the name implies usage context, there is no direct guidance on conditions, prerequisites, or alternatives, leaving the agent to infer usage.

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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