mcp_opendaw_add_automation

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

No annotations are provided, so the description must carry the transparency burden. It does disclose that the tool creates an automation track, value clip, and value events, and states the prerequisite that the parameter must be automatable. However, it does not mention potential side effects such as overwriting existing automation, whether the operation is destructive, or error behavior if the parameter is not automatable.

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 concise and well-structured. It leads with a one-sentence purpose, then a brief behavioral note, followed by a clear bulleted parameter list and a closing constraint. No redundant information; every sentence earns its place.

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 tool with 4 params and no schema descriptions, the description is thorough: it covers all parameters, provides an example, states the automatable requirement, and mentions what it creates. It doesn't elaborate on return values, but an output schema exists, so that is acceptable. Minor gaps are not explaining how to discover valid effect_index/parameter_name values, but sibling tools cover that.

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 0%, so the description must fully compensate. It does so admirably: each parameter is individually explained (unit_index, effect_index, parameter_name, points), including the expected format for 'points' with an explicit JSON example. This adds meaning well beyond the raw 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?

The description opens with a specific verb + resource: 'Add parameter automation to an effect on an audio unit.' It further clarifies by listing what is created (automation track + value clip + value events), distinguishing it from sibling tools like add_instrument_automation and create_automation_event by specifying the target is an effect on an audio unit.

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 clearly implies when to use this tool: when you want to automate a parameter on an effect. It does not explicitly name alternatives or state when not to use it, but the context is strong and the 'to an effect' scoping implicitly separates it from instrument automation or individual event creation.

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