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aiTrainer

aiTrainer

by dns-szrvs
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_recent_workouts

Retrieve recent workout sessions across all exercises. Specify the number of sessions or filter by recent days.

Instructions

Return recent workout sessions across all exercises.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_recent_workouts"
  }
}

Input Schema

NameRequiredDescriptionDefault
daysNo
limitNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided, so description carries full burden. It does not mention ordering, read-only nature, privacy, or data freshness. Minimal behavioral context beyond basic output.

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

Conciseness3/5

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

Single sentence is concise but omits critical information. Conciseness alone does not compensate for lack of utility.

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

Completeness2/5

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

Despite having an output schema, description fails to clarify parameter semantics or behavioral context. Agent cannot reliably invoke the tool without assumptions.

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

Parameters1/5

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

Schema description coverage is 0%, and description adds no explanation for parameters 'days' or 'limit'. Agent cannot infer their meaning or constraints without additional context.

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?

Description clearly states 'return recent workout sessions across all exercises', specifying verb and resource. It distinguishes from sibling tools like get_current_workout and get_exercise_history, but 'recent' is vague without a time range.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. Agent must infer usage from context signals alone.

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

Deploy Server

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