get_all_track_meters

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

With no annotations, the description carries the full burden of behavioral disclosure. It details the return structure (dict with 'tracks' and 'master'), the fields per entry (output_meter_level, left, right), and the value range (0.0-1.0). This is useful context beyond the bare function name, though it does not explicitly mention read-only status or error conditions.

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 highly concise and front-loaded: the first sentence states the purpose, and the second paragraph succinctly explains the return value. No filler or redundant information is present.

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 tool's simplicity (zero parameters) and the existence of an output schema, the description provides sufficient context to understand what the tool does and returns. It covers the essential behavioral details without unnecessary elaboration, making it complete for an agent to invoke 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?

The tool has zero parameters, and schema coverage is trivially 100%, so the baseline for this dimension is 4. The description does not need to clarify parameter semantics since there are none to describe.

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's function: 'Get output meter levels for all tracks and the master track.' This specific verb+resource combination distinguishes it from sibling tools like get_track_output_meter or get_master_output_meter, which target individual tracks or the master only.

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 implies the tool's scope (all tracks + master) but does not explicitly mention when to use it instead of per-track alternatives. While sibling tool names suggest alternatives, the description offers no direct when-to-use or when-not-to-use guidance, making the usage context only implied.

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