faucet_metrics
APEX faucet stats — total claims, unique wallets, total XNT/APEX paid out.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
APEX faucet stats — total claims, unique wallets, total XNT/APEX paid out.
| 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?
No annotations are present, so the description carries the full burden. 'Stats' implies a read-only operation, and the listed output semantics (totals, unique wallets, amounts paid) give some behavioral context. However, it does not explicitly state that the operation is read-only, whether results are cached or live, or if any side effects exist.
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 sentence with no filler. The resource is identified first, followed by a concise list of the three metric components. Every word contributes to understanding.
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 metrics tool with no output schema, the description lists the key values an agent would expect. It is slightly light on detail such as time horizon or exact response shape, but for this simple, focused tool the description is nearly sufficient.
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 sets the baseline at 4. The description does not need to explain parameter meanings; it appropriately focuses on what the tool returns instead. No parameter ambiguity exists.
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 identifies a specific resource (APEX faucet) and enumerates the exact metrics returned (claims, unique wallets, payouts). It lacks an explicit verb like 'retrieve' or 'get,' but the noun phrase 'stats' and the metric list make the operation unambiguous and distinct from all sibling tools.
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 alternatives, nor does it mention any exclusions or preferred contexts. For a simple parameterless stats tool the intended use is somewhat implied by the content, but no explicit when-to-use instruction is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.