See my AI workout quota
get_workout_ai_quotaHow many AI-generated workouts the trainer still has this period. Read only.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_workout_ai_quotaHow many AI-generated workouts the trainer still has this period. Read only.
| 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 and destructiveHint=false, so the 'Read only' sentence adds nothing structured data doesn't. The description does add useful domain context — the value is per-period, trainer-scoped, and about AI-generated workouts — but says nothing about the response shape or how the period boundary is determined.
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 short sentences, the quota semantics front-loaded and the safety note trailing. No filler, every clause carries meaning.
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?
A zero-parameter read tool with full annotation coverage needs little more, and the description names the metric and its period. It could be richer about the return value (a count versus an object), but for this tool's complexity it is nearly sufficient.
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?
There are zero parameters, and the schema is fully self-describing at 100% coverage, so the baseline for a no-param tool applies. Nothing in the description conflicts with or needs to compensate for the 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?
States precisely what the tool returns: the remaining count of AI-generated workouts the trainer has in the current period. This is a specific resource (workout AI quota), but the description does not distinguish it from siblings such as get_assessment_ai_quota or get_ai_credits, so an agent must infer the boundary.
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?
No when-to-use guidance and no mention of alternatives, even though get_ai_credits, get_ai_credits_statement, and get_assessment_ai_quota are plausible competing calls. The phrase 'this period' implies period scoping but never defines it or when to prefer this tool over the credit endpoints.
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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