xRocket rates
xrocket_ratesGet public crypto-asset rates in one fiat base currency.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| base | Yes | Fiat base currency, for example USD | |
| assets | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
xrocket_ratesGet public crypto-asset rates in one fiat base currency.
| Name | Required | Description | Default |
|---|---|---|---|
| base | Yes | Fiat base currency, for example USD | |
| assets | No |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds modest context with 'public' (implying no auth requirement) and 'in one fiat base currency' (single-base denomination), which goes slightly beyond the annotations. No contradiction with annotations.
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 front-loaded sentence with zero filler; every word earns its place. Appropriate size for a low-complexity public read tool whose schema and annotations carry the remaining detail.
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?
Rich annotations and the presence of an output schema lower the burden, and the schema documents both parameters. However, the description leaves unspecified what happens when the optional assets parameter is omitted, and it offers no routing clues among the market-data sibling tools.
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 coverage is 50%: 'base' is well-described ('Fiat base currency, for example USD') and the 'assets' items carry a useful description ('Exact xRocket asset identifier; TON is currently TONCOIN'). The tool description reinforces that base is a fiat currency but adds nothing about the optional assets filter's semantics or default behavior when omitted.
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 specific action ('Get') and resource ('public crypto-asset rates'), with a scoping detail ('in one fiat base currency') that hints at its distinguishing behavior. It is clear, though it does not explicitly differentiate itself from sibling xrocket_market_tickers, which could also plausibly return rates.
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?
The description gives no guidance on when to use this tool versus the nine sibling tools, several of which (xrocket_market_tickers, xrocket_market_snapshot, xrocket_asset_info) overlap semantically. No alternatives, exclusions, or condition-based routing are provided.
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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