keyboard_notes_converter

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

No annotations are provided, so the description carries the full burden, and it delivers: it discloses the complete conversion grammar, including key-to-note mapping, case-based durations, enclosure-based durations, and octave adjustment. This gives an agent an accurate behavioral model of the transformation without needing to infer anything beyond the description.

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 appropriately sized and well structured: a high-level purpose sentence, a parsing summary, and a compact notation rule list. Each line earns its place and the most important usage details are front-loaded before the formal rules.

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?

Despite the tool's grammar complexity, the description covers all necessary operational rules: allowed letters, note mapping, duration semantics, grouping syntax, and octave shifts. Since an output schema exists, return-value details are not required; the definition is complete enough for an agent to invoke the tool correctly.

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%, and the input_text parameter has no schema description, but the tool description fully compensates by defining what the input text contains and how it is interpreted. Every notation rule applies directly to the single parameter, so the agent can construct valid input without additional information.

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 states a specific verb ('converts') and resource ('user keyboard note transcriptions') with a clear output ('json note arrays for game audio'). It also explains the parsing function, making the tool's purpose unambiguous and distinguishable from the unrelated sibling tools.

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 identifies the input scenario — keyboard note transcriptions to game audio note arrays — and the notation rules give the agent enough context to know when the tool is applicable. It does not mention explicit alternatives or exclusions, but none of the sibling tools serve a similar purpose, so this is not a significant gap.

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