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preape_check

Quick pre-trade risk check for a token on Arc / RadarDEX before buying. Returns GO, CAUTION, AVOID plus one-liner and red flags. Covers observed RadarDEX creator history and LP lock. Does not scan full holders. Use this first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesERC-20 token address on Arc (0x…)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and it succeeds: it discloses the output format, the covered checks (creator history, LP lock), and a notable limitation (does not scan full holders). It also implies a read-only nature through 'risk check' and 'before buying.' This is strong transparency despite lacking explicit safety semantics.

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?

Five short, front-loaded sentences, each carrying distinct information: purpose, output, coverage, limitation, and usage. No 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?

For a single-parameter, no-output-schema tool, the description tells the agent what it returns, what it checks, what it ignores, and when to invoke it. The absence of an output schema is mitigated by the explicit return description.

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 the schema already documents the token address. The description repeats the Arc context and adds RadarDEX as a domain reference, but doesn't provide additional parameter-specific details like format or validation rules. Baseline 3 is appropriate.

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 states a specific action ('pre-trade risk check'), a target resource ('token on Arc / RadarDEX'), and a concrete output ('GO, CAUTION, AVOID'). It is clear and distinct in scope, but it doesn't explicitly name the sibling preape_analyze, so differentiation relies on the 'Quick' and 'Use this first' cues rather than an explicit contrast.

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?

The description gives clear context: use it before buying and use it first. However, it doesn't explicitly state when to switch to preape_analyze or exclude it, so the alternative is implicit rather than named.

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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TDQS

A4/5.0
Disambiguation3/5

preape_analyze and preape_check both evaluate the same token and return the same GO/CAUTION/AVOID verdict, so they are easy to confuse. The 'quick vs full' distinction and 'Use this first' hint help, but an agent still has to read carefully to choose correctly.

Naming Consistency5/5

Both tools follow the same preape_ + verb pattern, giving the server a predictable naming structure. There are no mixed conventions or inconsistent verb styles.

Tool Count4/5

Two tools is a minimal surface, but it maps cleanly to quick and full pre-trade risk checks for a narrow domain. It feels slightly thin, yet not unreasonable for the stated purpose.

Completeness4/5

The full analysis covers creator history, LP lock, liquidity, and top-holder concentration, while the quick check provides a fast red-flag path. Notable gaps like null volume/wash fields and incomplete Arc coverage exist, but the core pre-trade workflow is represented.

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