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apex-arc

arc_faucet_status

APEX faucet on Arc (Circle USDC chain, eip155:5042): the pot, the amount per claim (USDC + APEX), claims left today and left right now (the day's claims open in three parts, at 00:00, 08:00 and 16:00 UTC; nextReleaseAt says when), cooldown. Every number is read from the faucet contract at call time; a failed read is reported as failed, never as zero. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description fully carries the behavioral burden and does so excellently: it discloses live reads from the contract, honest error behavior (failed reported as failed, never zero), cost ('Free'), and the three-part daily release schedule. This is highly transparent for a status tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Every sentence earns its place. The description front-loads the core status payload, then adds crucial behavioral details and the chain identifier without any filler. Dense but well organized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters, no annotations, and no output schema, the description is complete: it lists every returned datum, explains the timing semantics, clarifies live vs cached reads, and specifies error and cost behavior. An agent has everything needed to call and interpret the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters, so the baseline is 4. The description adds relevant output-context semantics even though no parameters exist to document.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource (APEX faucet on Arc) and explicitly enumerates the data points returned: pot, claim amounts, claims left today and right now, release timing, and cooldown. It clearly identifies this as a status read, distinguishing it from the claiming sibling arc_faucet_claim without naming it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Clear context is provided about what information is available and how to interpret nextReleaseAt with specific UTC release times. However, it does not explicitly state when to prefer this tool over alternatives like arc_faucet_claim or faucet_metrics, so it earns a 4 rather than a 5.

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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