ncloud_dataflow_update_job_execute_config

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

The annotations already declare idempotentHint=true and destructiveHint=false, indicating a safe, repeatable update. The description does not contradict these, but also does not add any behavioral context, such as whether the update triggers a job restart, or whether options are merged or replaced. Since the annotations cover the safety profile, a median score is appropriate.

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, well-structured sentence that conveys the essential information without any unnecessary words or details. It is front-loaded with the action and resource, making it easy to parse.

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 the parameter schema is fully described and annotations provide safety context, the description is minimally adequate. However, it lacks examples of common option keys or any hints about the effect of the operation, which would enhance completeness for a tool with a free-form options object.

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 input schema covers 100% of parameters with descriptions. The description adds examples of execution options (resource spec, parallelism, timeout) that go beyond the schema, but does not specify which keys are allowed or the expected format for the options object. This provides some additional value but not comprehensive.

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 clearly states the action (update), the resource (execution configuration of a Data Flow job), and the specific content (options). The name also reinforces this. It distinguishes from sibling tools that perform other operations on dataflow jobs, such as create, delete, or get.

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 provides no guidance on when to use this tool versus alternatives, such as ncloud_dataflow_update_job. There is no mention of prerequisites, or scenarios where this tool should be avoided. This is a significant gap given the many sibling tools.

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