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Glama

get_enduraw_matrix_history

Fetches the chronological history of an athlete's Runner Matrix data points to track physiological changes over time.

Instructions

Fetches the chronological evolution / history of the athlete's Runner Matrix data points.

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_matrix_history"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the entire behavioral burden, and it discloses almost nothing beyond the one-line purpose. It does not say what time window is covered, what granularity or ordering the history uses, whether results are paginated or capped, or whether the athlete scope is implicit from auth — all relevant for a history endpoint returned as free text.

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?

A single front-loaded sentence with no filler, and the key differentiator ("chronological evolution") is positioned early. It is arguably under-specified rather than padded, so it does not lose points for verbosity.

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?

With no annotations, no output schema, and nary a hint of return shape, an agent knows only the topic and not what it will receive — series length, fields per point, or ordering. For a history/evolution endpoint that is a substantial gap relative to the tool's complexity.

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?

The schema has zero parameters, so per the baseline this dimension defaults high; there is no parameter ambiguity to resolve and nothing for the description to compensate for. There is no opportunity for it to add value here either.

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 names a specific verb ("Fetches") and resource ("the athlete's Runner Matrix data points" history), and the qualifier "chronological evolution / history" distinguishes it from the snapshot-oriented siblings get_enduraw_matrix and get_enduraw_matrix_summary. It stops short of a 5 because it never explicitly contrasts itself with those siblings by name.

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?

Use is only implied: the word "history" suggests trend/over-time queries versus the current-state get_enduraw_matrix, but there is no explicit when-to-use, when-not-to-use, or named alternative. An agent must infer routing from a single adjective.

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