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Arc immune

arc_immune

Deep immune check for an Arc token: a real buy-then-sell round trip, the launch cluster (bundled or not), the holders and the creator's launch history, fused into one grade (A/B healthy (B fair: sells with a cost or caveat), C watch, D sick, F infected, ? unproven) with every reason and a sha256 evidence hash you can recompute. $0.01 per call over x402; 10% of each paid check is recorded as owed to a People Pot (a ledger of what we intend to fund; the pot contract on Arc is 0xed8615da5256c6bdc6040fa6ae1d9f22070c48b7, nothing paid to people from it yet).

Input Schema

NameRequiredDescriptionDefault
tokenYesthe Arc token contract address (0x...)
paymentNoa signed x402 payment (the same base64 payload you would put in the PAYMENT-SIGNATURE header). Pass it here and the purchase completes inside this tool call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does substantial work: it declares a real cost ($0.01 per call over x402), a 10% fee-recording side effect into the People Pot with the contract address and an explicit 'nothing paid to people from it yet' caveat, and a verifiable sha256 evidence hash. Remaining gaps are behavioral edges such as what happens if no payment is attached (quote vs error) and expected latency.

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

Conciseness3/5

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

Purpose is front-loaded, which is good, but the core sentence is a run-on packed with nested parentheses for the grade scale, and the parenthetical defining B is buried inside the A/B label. The pricing/fee sentence is dense but each clause is load-bearing, so it is overstuffed rather than padded.

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?

No output schema exists, so the description must convey the return shape, and it does: a single letter grade with an explicit scale, 'every reason', and a recomputable sha256 evidence hash. Combined with cost and payment mechanics, an agent has enough to call this correctly and interpret the result without further documentation.

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

Parameters3/5

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

Schema coverage is 100%, so both parameters are already documented and the baseline is 3. The description adds only marginal meaning beyond the schema: the $0.01 x402 price gives context for the 'payment' parameter, but it does not explain the two-step flow (call without payment to get terms, then resubmit with signed payload) beyond what the schema note already says.

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

Purpose4/5

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

States a specific verb and resource ('deep immune check for an Arc token') and enumerates the evidence it fuses: buy-then-sell round trip, launch cluster bundling, holders, creator launch history, output as an A/B/C/D/F/? grade. This is far more than a restated name. It does not, however, name any sibling (arc_token_check, arc_trust_check, arc_verdict, arc_bundle_check) to explain what makes it 'deep' versus those, so the differentiation is only implicit.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: 'deep' and the composite grade scale suggest a pre-trade due-diligence call, but there is no explicit when-to-use / when-not-to-use and no routing to the many overlapping siblings in this family. The payment note tells the agent how to complete a paid call, not when to prefer this tool over arc_token_check or arc_verdict.

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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