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Post-launch Screening

post_launch_screening

Score a live token launch under ERC-8376, the token launch abuse standard we co-authored. The twelve-signal vector is assembled from chain state and scored against the eleven deployer abuse patterns into an abuse score of 0 to 100, with confidence reported separately so a high score on thin evidence cannot read as a certainty. Signals that could not be computed are named rather than scored clean. Price decline is excluded by rule, so a launch that locked liquidity, sold nothing and fell 95 per cent still scores clean: falling is not fraud. Name the creator, because at most venues the token was deployed by the venue's own factory and the creating address is the launchpad rather than the applicant. A screening, not a bonded on-chain report. Costs $1.00 per call, paid in USDC over x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain name or EVM chain ID. base (8453) only for now, since the scoring contracts are deployed there.
tokenYesToken contract address
creatorNoWallet of the party who requested the launch, as connected at your venue. Without it the launch is unattributed and the signals about the deployer come back unavailable.
subscription_tokenNoOptional Cybercentry subscription token. Uses your plan quota instead of paying per call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

No annotations exist, and the description carries the full burden well: it discloses the $1.00 per-call cost paid in USDC over x402, the per-call vs subscription quota tradeoff, the deliberate exclusion of price decline, and that uncomputable signals are named rather than silently scored clean. The confidence-separation note also warns against reading a high score on thin evidence as certainty.

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

Conciseness4/5

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

Front-loaded with what the tool does, then progressively adds constraints, cost, and caveats; nearly every sentence carries unique information. It runs slightly long and includes some rhetorical framing ('falling is not fraud', 'cannot read as a certainty') that could be tightened, but nothing is filler.

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?

With no output schema and no annotations, the description supplies what an agent needs: the scoring range, the confidence companion value, the chain restriction, the attribution requirement, the explicit exclusion rule, and the billing model. Few gaps remain for a 4-parameter screening call.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds genuine meaning beyond the schema: it explains why 'creator' matters (at most venues the token was deployed by the venue's own factory, so the creating address is the launchpad, not the applicant) and that omitting it leaves deployer signals unavailable. That is real guidance for a parameter the schema only labels.

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?

States a specific verb and resource ('Score a live token launch'), names the standard applied (ERC-8376), and specifies the output shape: a twelve-signal vector collapsed into a 0-100 abuse score with separately reported confidence. The word 'live' plus 'A screening, not a bonded on-chain report' implicitly separates it from pre_launch_screening without ambiguity.

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 about when the tool applies (a live/launched token), what it explicitly does not treat as abuse (price decline), and how to supply attribution via the creator argument. It stops short of naming pre_launch_screening as the alternative for tokens that have not launched yet, leaving that routing to inference from the tool name.

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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