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enduraw-MCP

enduraw-MCP

by ploa33
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

get_enduraw_pacing_plans

Retrieve all pacing plans created or in preparation on Enduraw, including available credits, to review and compare race pacing options.

Instructions

Retrieves all pacing plans created or in preparation on Enduraw, including available credits.

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_enduraw_pacing_plans"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It does convey that this is a bulk read ('all pacing plans') with no filtering and that credits are bundled in the response, which is useful context. It does not state whether the result can be empty, whether it requires athlete authentication, or how large the response may be, so the disclosure is partial.

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?

A single front-loaded sentence with no filler, no restatement of the tool name, and the scope plus included data packed into one clause. Nothing could be removed without losing information.

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?

The tool is a simple zero-parameter list call with no output schema, so a one-line purpose statement covers most of what an agent needs. Adding a short note on return shape or empty-result behavior would make it fully complete.

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?

There are zero input parameters and the schema is a bare empty object, so there is nothing for the description to disambiguate. Baseline 4 applies; the mention of credits adds a hint about return content but is not parameter semantics.

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?

Uses a specific verb and resource: 'Retrieves all pacing plans' and names the platform scope (Enduraw) plus what is included ('available credits'). It is clearly distinguishable from every sibling, which cover profiles, matrix, activities, races, and analysis rather than plans. It falls short of 5 only because 'created or in preparation' leaves the plan-state semantics slightly fuzzy.

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?

The description states no conditions for when to call this tool, nor any alternative to prefer. With zero parameters there is little routing risk, but the agent is given no explicit trigger such as 'use when the athlete asks about training plans or remaining plan credits'.

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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