check_loyalty
Loyalty tier and free-call balance for any XRPL wallet. Automatic — no registration. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| wallet | Yes |
Loyalty tier and free-call balance for any XRPL wallet. Automatic — no registration. Free.
| Name | Required | Description | Default |
|---|---|---|---|
| wallet | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden; it does disclose valuable context (no registration, no cost, works for any wallet), which is real behavioral value. However, it does not state that the call is read-only/non-mutating, nor what happens for an unregistered or malformed wallet, leaving the agent to infer the failure mode.
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?
Three short fragments, front-loaded with the resource and followed by cost/prerequisite facts; nothing is wasted. Its terseness is more a completeness gap than a verbosity problem.
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 lookup with no output schema and no annotations, the description is only marginally adequate: it says what is returned conceptually but not in what shape, and not how it behaves on unknown wallets. It could easily carry those two facts in one more sentence.
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 0% — the single 'wallet' parameter is an undescribed string. The phrase 'for any XRPL wallet' does tell the agent the value must be an XRPL address rather than an arbitrary string, which is genuine added meaning. But the address format (classic r-address vs X-address) and validation behavior remain unspecified.
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 resource — loyalty tier plus free-call balance — scoped to XRPL wallets, so an agent knows exactly what it retrieves. It is clearly distinct from all siblings (bureau reports, invoices, payment verification, platform stats), though it doesn't explicitly contrast with any of them.
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?
'Automatic — no registration. Free.' describes prerequisites and cost, not when to use the tool. There is no statement of when this is the right call versus get_agent_passport, platform_stats, or get_invoice, and no exclusions.
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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