update_spark_engine

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

No annotations are provided, so the description must disclose behavioral traits. It mentions the return type (dict) and the need for manual restart, but lacks details on permissions, failure modes, or side effects beyond the note.

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 well-structured with Args, Returns, and Note sections. It is not overly verbose, and each sentence contributes useful information.

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 the presence of an output schema and moderate parameter count, the description covers purpose, basic parameter roles, and a behavioral note. However, it lacks information on error conditions, validation rules, or relationship to other engine operations.

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 coverage is 0%, so the description compensates with brief parameter descriptions (e.g., 'Updated display name', 'Engine configuration (default_config, default_version, engine_home)'). These add value but are minimal and lack details on constraints or defaults.

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 'Update Spark engine configuration in watsonx.data,' specifying the verb and resource. It distinguishes from sibling tools like create_spark_engine and scale_spark_engine by focusing on configuration updates.

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 includes a note about Spark engines not supporting engine_restart and that configuration changes may require manual restart. This provides useful guidance but does not explicitly compare to other update tools like update_presto_engine.

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