create_walk_run_workout

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

With no annotations provided, the description carries the burden of disclosing behavior. It does this well by stating that the tool 'Builds the internal Garmin JSON automatically' and 'returns the new workout ID,' making the upload/write side effect and the output clear. It could go further by noting duplication behavior or permissions, but the core behavioral disclosure is solid.

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 front-loaded with a clear one-sentence purpose, followed by a compact Args list where every line adds needed detail. There is no filler or repetition, making it efficient and easy for an agent to parse.

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 7-parameter tool with no annotations and no schema descriptions, the description is remarkably complete: it explains all parameters, units, the default zone, the automatic JSON construction, and the return value. It lacks only explicit constraints or edge-case notes, and the return is described even though an output schema supposedly exists, so an agent has enough to call it 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 description coverage is 0%, so the description must fully document parameters. It does: every parameter is listed with a meaningful explanation, units, and the hr_zone default (Z1-Z5, default Z3). This adds substantial semantic value beyond the bare input 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 names a specific verb and resource: 'Create a walk/run interval workout and upload it to Garmin Connect.' It also specifies the core behavior, automatic JSON construction and returning the new workout ID, which clearly distinguishes it from generic activity or workout 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 shows the intended use case: walk/run interval workouts with configurable run/walk intervals, warmup, cooldown, repetitions, and heart-rate zone. However, it does not explicitly contrast this with sibling tools like create_run_workout or create_z2_walk_workout, leaving selection among those to inference.

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