get_power_zones_for_sport
Power zones for one sport, e.g. "CYCLING". sport upper-cased and validated the same way as getFunctionalThresholdPowerRange.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sport | Yes |
Power zones for one sport, e.g. "CYCLING". sport upper-cased and validated the same way as getFunctionalThresholdPowerRange.
| Name | Required | Description | Default |
|---|---|---|---|
| sport | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the safe-read profile is covered. The description adds that `sport` is upper-cased and validated, a real normalization behavior, but says nothing about return shape, empty results, or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, front-loaded with the resource and scope, with zero filler. The reference to `getFunctionalThresholdPowerRange` is slightly cryptic (and its camelCase form differs from the snake_case sibling name), costing a point.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter read tool whose annotations already cover safety, this is close to adequate. The main gap is the missing set of valid sport values, which the description defers to another tool rather than stating; no output schema exists, so return values are also unexplained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the burden and partially meets it by specifying case normalization and validation behavior. It still does not enumerate the valid sport values, offering only a single example, so an agent cannot know the accepted domain without opening another tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource (power zones) and narrows it to one sport, which distinguishes it from the sibling get_power_zones that presumably covers all sports. It does not explicitly name get_power_zones as the alternative, so the differentiation is implied rather than stated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides an example value ("CYCLING") and points to getFunctionalThresholdPowerRange for the validation rules, which gives a usable usage cue. However, it never says when to pick this over get_power_zones, so the routing decision is left to inference.
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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