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yashhooda1

apple-workouts-mcp

by yashhooda1

create_hs_track_plan

Build a high-school track training block for 800m through 5K with honest gap sizing against current PRs, mileage ceilings by training age, and dry-run validation before publishing.

Instructions

Build a high-school track block: 800 / 1600 / 3200 / 5k.

goal_time defaults to the barrier — sub-2:00 800, sub-4:30 1600, sub-10:00 3200, sub-15:00 5K. With current_pr the report sizes the gap honestly. training_age ('new' | 'developing' | 'experienced') sets a hard mileage ceiling; Sunday is always rest; no doubles; nutrition guidance is adequacy-only. Take it to the athlete's school coach before running it. dry_run=True validates without publishing.

Input Schema

NameRequiredDescriptionDefault
timeNo
eventNo1600
weeksNo
dry_runNo
replaceNo
goal_timeNo
meet_daysNo
current_prNo
start_dateNo
training_ageNodeveloping
current_weekly_milesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well: it discloses mileage ceilings by training_age, Sunday rest, no doubles, adequacy-only nutrition, and the meaning of dry_run. It omits a significant behavior — that `replace` defaults to true, so an existing plan may be overwritten, and there is no note on permissions or what publishing entails.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Compact and front-loaded — the core behavior and defaults come first, caveats after. The line-broken phrasing and added defaults table are a little repetitive ('goal_time defaults to the barrier' plus the enumerated barriers), but nothing is filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 11-parameter mutation tool with no annotations and no output schema, much is covered (defaults, constraints, dry_run), but the omission of `replace`'s overwrite semantics and the meaning of half the parameters leaves real gaps an agent would need filled before invoking it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 11 parameters, so the description must compensate. It explains goal_time defaults, training_age's three values, and dry_run, but leaves `time`, `weeks`, `meet_days`, `start_date`, `current_weekly_miles`, `event`, and especially `replace` completely undefined.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Build a high-school track block') and enumerates supported events (800/1600/3200/5k). This distinguishes it in spirit from create_training_plan and create_marathon_plan, though it never names those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives real usage context: coach review before running the plan, and dry_run=True to validate without publishing. However, it never says when to choose this over create_training_plan/create_marathon_plan, which is the key routing decision an agent faces among these siblings.

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