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log_cardio

Log the time of today's cardio main task (the timed swim or run), as MM:SS or seconds, and mark it done. For an interval day, pass rep_number to log one interval's time.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "task_id": "<task_id>",
      "time": "<time>"
    },
    "name": "log_cardio"
  }
}

Input Schema

NameRequiredDescriptionDefault
timeYesMM:SS (e.g. "12:30") or seconds.
task_idYesThe cardio main task id from get_today.
rep_numberNoFor an interval day: which interval this time is.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare a non-read-only, non-destructive, closed-world write. The description adds one piece of genuinely new behavior — that the call also marks the task done, i.e. a side effect beyond the recorded time. It does not say what happens if a time was already logged (overwrite? error?), which is the main residual risk for a write tool.

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

Conciseness5/5

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

Two sentences, front-loaded with the primary action and ending with the conditional case; every clause carries information and nothing is padded.

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

Completeness4/5

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

For a low-complexity three-parameter logging tool with full schema coverage, annotations, and no output schema, the description covers the main/interval distinction and the completion side effect. It is only slightly incomplete in not covering repeat-submission behavior.

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

Parameters3/5

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

Schema description coverage is 100%, so task_id, time, and rep_number are already documented with format and bounds. The description adds the semantic condition for rep_number (only on interval days, logs one interval) and reinforces the MM:SS/seconds format, but this largely restates the schema, so the baseline 3 applies.

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 gives a specific verb+resource: logging the elapsed time of "today's cardio main task (the timed swim or run)" and marking it done, which distinguishes it from generic exercise logging. It stops short of naming a sibling (e.g. log_exercise) to contrast against, so it is clear but not fully differentiating.

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 implied rather than stated: it applies to today's cardio main task, with a conditional branch ("For an interval day, pass rep_number") that tells the agent which parameter to set in that case. There is no explicit when-not guidance or named alternative for logging non-cardio or non-main work.

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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