snowflake_resume_dynamic_table

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It states that scheduling and lag monitoring are resumed, but it does not explain side effects (e.g., whether it starts data refresh automatically), prerequisites (e.g., required permissions), or what happens if the table is already running. For a mutation operation, this is insufficient transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no fluff. It front-loads the core action and resource. Every word contributes to the meaning, and it is appropriately sized for the task.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this is a mutation tool with three parameters, no annotation coverage, and minimal description, it is not complete. It lacks guidance on when to call it, what state the table must be in, and what happens after execution. The existence of an output schema reduces the need to describe return values, but the absence of usage context and side effects leaves the description incomplete.

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

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

The schema description coverage is 0%, and the description provides no information about the three parameters (database, table_name, schema_name). An agent cannot determine from the description which parameters are required, how they are used, or how they relate to the target dynamic table. The description entirely fails to compensate for the missing parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action ('Resume scheduling and lag monitoring') on a specific resource ('a dynamic table'). It distinguishes itself from siblings like snowflake_suspend_dynamic_table (which suspends) and snowflake_refresh_dynamic_table (which refreshes data). It could be slightly more explicit about the object being resumed, but the verb+resource is unambiguous.

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

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

The description gives no explicit guidance on when to use this tool versus alternatives. It does not state that it should be used after a suspension, nor does it mention any prerequisites or conditions. Usage context is only implied by the word 'resume' – an agent must infer that the table is currently suspended. No alternative or exclusionary guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.