ncloud_datastream_update_registry_config

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

Annotations declare idempotentHint=true and destructiveHint=false, so the safety profile is known. The description adds that this updates a compatibility setting, but does not disclose any side effects (e.g., impact on schema validation for existing schemas) or required permissions. The description adds marginal value beyond the annotations.

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 sentence that is clear, concise, and front-loaded with the action and resource. No wasted words.

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?

For a simple update of a boolean setting with two parameters and no output schema, the description is adequate. It covers the main purpose and, combined with annotations and schema, provides sufficient context. Could mention potential impacts on schema validation, but not necessary for basic usage.

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?

Schema description coverage is 100%, so the schema already documents both parameters. The description does not add any additional meaning about parameters beyond what the schema provides. Baseline score of 3 applies.

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 it updates the schema registry compatibility setting for a Data Stream topic, using a specific verb ('update') and identifying the resource and context. It distinguishes from siblings like get_registry_config (read) and check_schema_compatibility (check).

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?

No guidance is provided on when to use this tool versus alternatives (e.g., get_registry_config, check_schema_compatibility). There is no mention of prerequisites, such as requiring an existing registry configuration.

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