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Archalis Radar

Token rating

get_token_rating
Read-onlyIdempotent

Risk rating of a BNB Chain token from AAA to C (SCAM for confirmed scam patterns, D after a rug pull), with risk flags, simulated buy/sell taxes, who controls the contract and the liquidity, the creator history and, after a collapse, the forensics of who took the money out. A token whose markets the radar cannot read (no pool with real liquidity in BNB, USDT, USDC, FDUSD or the other supported bases) is not rated: rating is null and notRated says why. Ratings measure structural risk, not price potential. Not financial advice.

Input Schema

NameRequiredDescriptionDefault
freshNoRun a new on-chain analysis instead of using the archive (counts against the daily fresh analyses of the plan)
addressYesToken contract address on BNB Chain

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent/non-destructive, and the description adds real behavioral context beyond them: unrated tokens yield rating=null with a notRated reason, D follows a rug pull, and ratings measure structural risk rather than price potential. It omits the cost/rate-limit angle (the daily fresh-analysis quota), but that is documented on the fresh parameter.

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 the rating scale, then the unrated fallback, then the caveats. It is a dense single paragraph and nearly every sentence earns its place; the closing 'Not financial advice' is the only line that does little work for an agent.

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?

There is no output schema, and the description compensates by enumerating the return payload (risk flags, simulated buy/sell taxes, contract and liquidity control, creator history, post-collapse forensics) plus the null/notRated edge case. An agent has enough to call it and interpret the result.

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 description coverage is 100%, so the schema already explains both address and fresh, including the quota cost of fresh. The description adds nothing about either parameter and only enriches output semantics, so the baseline 3 applies.

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 resource (BNB Chain token risk rating) and defines the output scale precisely (AAA to C, SCAM, D after a rug pull), so an agent knows exactly what this returns. The resource scope is unmistakably distinct from the wallet- and liquidity-oriented siblings.

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 only implied: the description explains the unrated case and what the grades mean, which helps interpret results, but never says when to call this versus check_wallet or get_rating_track_record, nor when a fresh analysis is warranted over the archive. No exclusions or alternatives are 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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