See all my workouts
list_workoutsEvery workout the trainer wrote, for all students, with the exercises.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_workoutsEvery workout the trainer wrote, for all students, with the exercises.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds one genuinely useful behavioral fact — that exercises are embedded in the results — but says nothing about result volume, ordering, or pagination for an unfiltered 'all' query.
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?
A single short sentence with the scope ('every workout... all students') front-loaded and the payload detail ('with the exercises') appended. Nothing is wasted and nothing needs to be scanned for.
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?
With no output schema, the description carries the return-value burden and does mention exercises being included, but omits shape details an agent would want for an unbounded list — ordering, approximate size, or whether student identity is attached to each workout.
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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter-related gaps exist.
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 resource and scope: every workout the trainer wrote, across all students, including the exercises. That is concrete enough to know what comes back, but it never contrasts itself with get_workout (single) or list_workout_suggestions, so sibling disambiguation is left to the name.
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 phrase 'for all students' implies this is the broad overview rather than a single-record lookup, which is a usable but indirect signal. There is no explicit when-to-use, no when-not, and no named alternative such as get_workout.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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