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deployer_score

Deployer track-record score for Base launches: given a creator address, score 0-100 from on-chain outcomes of every pair it created in the last 7 days - liquidity survival (drain detection), current quote liquidity in USD, launch cadence. Continuously-collected unique dataset. Pay-per-call $0.005 (USDC on Base, x402/MPP - a 402 challenge is returned on unpaid calls).

Input Schema

NameRequiredDescriptionDefault
addressYesrequired

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the burden well: it discloses the 7-day on-chain outcome window, scoring components (liquidity survival/drain detection, quote liquidity, launch cadence), and the pay-per-call x402/MPP payment behavior including the 402 challenge. It does not fully describe response format or operational failure modes, but adds substantial behavioral context.

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?

The description is a single dense paragraph with the core scoring purpose front-loaded, followed by data inputs and payment mechanics. Every sentence adds useful selection or invocation context, with no wasted framing.

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

Completeness4/5

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

For a one-parameter scoring tool with no output schema, the description explains the score range, the source data, and the main scoring factors. It leaves the exact response shape and edge cases unspecified, but gives enough context to invoke it correctly.

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?

The schema has 100% description coverage, but the only parameter description is the bare word "required". The description adds that the address represents a creator address on Base, which is useful, but it does not specify address format or validation details.

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?

The description gives a specific verb and resource: scoring a creator address's deployer track record for Base launches on a 0-100 scale. It is clear what the tool computes, though it does not explicitly differentiate itself from the sibling `deployer` tool.

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?

It implies the tool should be used when you have a creator address and need a deployer risk/track-record score for Base launches. It does not state when to prefer alternatives like `deployer`, nor does it give exclusions or prerequisites beyond needing an address.

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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