mcp_opendaw_set_automation_interpolation

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

No annotations provided, so description carries full burden. It discloses the purpose and effect but omits prerequisites (e.g., event must exist), side effects, error conditions, or reversibility. 'Returns success, or error' is vague.

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?

Well-structured with brief purpose, effect explanation, and parameter list. Each sentence adds value, though 'Returns success, or error' is minimal. Could be slightly more concise.

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?

Covers purpose and parameters adequately, but lacks details on return value structure (though output schema exists), preconditions, and error handling. Missing information needed for safe use without annotations.

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?

All 6 parameters are explained with meanings, indices, interpolation options, and conditional dependency. Schema coverage is 0%, so description fully compensates by adding essential context beyond the schema.

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?

Description clearly states the verb 'Set' and the resource 'interpolation type of an existing automation event', and explains the effect on curve transitions. This distinguishes it from siblings like add_automation or update_automation_event.

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?

Does not explicitly state when to use this tool versus alternatives like update_automation_event. The context implies it is for modifying an existing event's interpolation, but no when-not-to or alternative guidance is given.

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