REAPER MCP Server

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

With no annotations provided, the description carries the full burden. It successfully discloses the rendering side effect, the specific detection limit (up to 100 events), and the return structure (count and timing). It could further clarify whether the rendering is temporary or persistent.

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?

Two well-constructed sentences with zero redundancy: the first defines the operation and scope, the second defines the return value. Information is front-loaded and every word 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?

Given the absence of an output schema, the description appropriately compensates by explicitly stating what the tool returns (count and timing). For a zero-parameter analysis tool, the description is complete, covering operation, constraints, and output.

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 tool has zero parameters, which establishes a baseline of 4 per the scoring rubric. No parameter documentation is required or present.

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 tool 'detect[s] transient events' with specific examples (note attacks, drum hits) that distinguish it from sibling analysis tools like analyze_frequency_spectrum or analyze_loudness. The verb-resource combination is precise.

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?

Provides clear context through concrete examples of transient types and notes the prerequisite step of rendering the project (implying processing time). However, it does not explicitly name alternative analysis tools or state when NOT to use this versus analyze_dynamics.

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