How on-body sponsorship works
how_sponsorship_worksHow RoxSkin works for athletes and brands, the 15 sponsor spots with default prices, refund rules and FAQ.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
how_sponsorship_worksHow RoxSkin works for athletes and brands, the 15 sponsor spots with default prices, refund rules and FAQ.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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=false, so the agent knows this is a safe, non-mutating lookup and does not need the description to establish that. The description adds content-scope context (the 15 spots, default prices, refund rules, FAQ) but says nothing about return format (text vs JSON) or length, so it is useful but not rich.
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?
A single compact sentence that front-loads the subject and enumerates the covered material without padding. Slightly awkward phrasing ('How RoxSkin works' plus a list) but every clause earns its place.
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 zero-parameter, read-only documentation tool with no output schema and full annotation coverage, the description is sufficient to call it correctly. Only the return format is unstated, which is a minor gap for a knowledge-fetch tool.
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?
The tool takes zero parameters, which is the baseline-4 case: there is nothing for the description to disambiguate. No parameter documentation is missing.
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?
The description names a concrete informational resource (sponsorship mechanics for RoxSkin, sponsor spots with default prices, refund rules, FAQ), so an agent knows exactly what content it returns. It does not, however, contrast itself with the other knowledge-style sibling (hyrox_format), leaving the boundary between the two implicit.
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?
Usage is implied: it is a zero-parameter read of sponsorship documentation, and the topic words make the triggering question obvious. There is no explicit statement of when to use this versus hyrox_format or the get_* tools, so the guidance stays at the implied level.
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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