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MONS Athletics

Check readiness for a challenge

check_readiness
Read-onlyIdempotent

Picks the challenge to aim for from the person's training, how many weeks they are from it, and the one thing that sets the date. Returns the next question while one is unanswered, then the challenge and verdict. Send every answer so far each time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportYesThe sport of the challenge: running, cycling or swimming.
todayNoThe person's local date as YYYY-MM-DD, the day before if it is earlier than 05:00 where they are. Omit if unknown.
answersNoAnswers so far, keyed by question id, each the value of the option the person chose. Omit before the first answer.
furthest_kmYesThe furthest distance the person has ever done in one go in that sport, in kilometres. 0 if never.
challenge_idNoOptional: a challenge id from the challenges find_next_challenge lists, when the person names a goal of their own. Omit to let their training answers pick one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare this a safe, idempotent, non-destructive read, so the safety profile is covered. The description adds genuinely non-derivable behavior: it is an interactive multi-turn flow that returns the next unanswered question first and only later the challenge plus verdict, which is essential for the agent to interpret responses correctly.

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?

Three sentences, front-loaded with the core purpose and no redundant filler. The middle sentence on the return protocol earns its place, though the cryptic 'one thing that sets the date' phrasing costs some clarity.

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

Completeness5/5

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

For a stateful, multi-turn tool with no output schema, the description covers the two things that matter most: the two possible response shapes (question vs. challenge+verdict) and the cumulative-answers protocol. Combined with 100% schema documentation of all five parameters, an agent has what it needs to drive the conversation.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3. The description goes beyond the schema by clarifying that 'answers' is cumulative state — every answer so far must be resent on each call — which is a semantic constraint the schema does not express. It also loosely ties the inputs to training history and time-to-goal.

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?

The description states a concrete operation: it picks a target challenge from the person's training, computes weeks-to-goal, and returns a readiness verdict, which is more than a restatement of the title. However, it never differentiates itself from the closely related sibling find_next_challenge, and the phrase 'the one thing that sets the date' is opaque jargon.

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?

Usage is only implied — the description makes clear this is the readiness-assessment flow but gives no explicit when-to-use, when-not, or alternative (e.g. find_next_challenge, ask_coach) for the agent to choose between. The 'send every answer so far each time' line is an invocation rule rather than guidance on tool selection.

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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