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crypto_token_dossier

Full degen token dossier in one call: safety score + honeypot/tax + detailed TOP HOLDERS and concentration + liquidity/FDV/volume/pool-age + contract control (owner, creator, mintable, open-source) + an AI red-flag narrative. Deep due-diligence report on a token before aping — the premium tier above a plain safety check. EVM chains and Solana. Price: $0.10 per call (x402 payment, USDC on Base mainnet).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNobase | ethereum | bsc | polygon | arbitrum | optimism | avalanche | solana (default base)
tokenYesToken contract (EVM 0x+40hex) or SPL mint (base58)

TDQS

A4.1/5.0
Behavior4/5

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

Since no annotations are provided, the description carries the full burden. It transparently discloses the report contents, supported chains (EVM + Solana), and the per-call price/payment method (x402, USDC on Base). It does not mention failure modes, rate limits, or explicitly state read-only behavior, but the 'report' framing makes the safe-read nature clear enough.

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?

The description is front-loaded with the value proposition and uses a dense, scannable list of features. Every sentence earns its place, and the length is appropriate for the tool's breadth. Slight overuse of slang ('degen', 'aping') is a minor style issue but not a clarity problem.

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?

With no output schema, the description fills the gap by enumerating all major output categories and providing usage context, supported chains, and pricing. It gives an agent enough information to select and invoke the tool appropriately, though it stops short of specifying exact response structure or error behavior.

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 fully documents the two parameters (token and chain). The description adds only general context about chains and token formats but no new parameter-level semantics beyond what the schema already provides. 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?

The description opens with 'Full degen token dossier in one call' and enumerates specific deliverable components (safety score, honeypot/tax, top holders, liquidity/FDV/volume, contract control, AI red-flag narrative). This makes the tool's purpose concrete and clearly distinguishes it from simpler alternatives like a plain safety check.

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 explicitly positions this as 'the premium tier above a plain safety check' and states it is for deep due diligence 'before aping,' giving clear context for when to use it over simpler tools. It does not name sibling tools explicitly or mention exclusions, which prevents a 5.

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

A3.9/5.0
Disambiguation3/5

There is notable overlap between crypto_pre_trade_verdict and solana_pre_trade, both providing pre-trade decisions for Solana. The agent_rank_check and agent_visibility_audit are also similar in purpose but differentiated by depth. However, descriptions are detailed enough to clarify the intended use, so ambiguity is moderate.

Naming Consistency4/5

Tool names consistently use snake_case and often include domain prefixes like crypto_, solana_, and agent_. Minor deviations exist, such as solana_pre_trade lacking the 'verdict' suffix seen in crypto_pre_trade_verdict, and standalone names like gleif_lei and polymarket_odds that don't follow a domain-prefix pattern. Overall, the style is predictable and readable.

Tool Count5/5

With 10 tools, the server is well-scoped within the ideal 3-15 range. Each tool serves a distinct purpose or tier (e.g., quick check vs. deep audit), and the count feels appropriate for a multi-purpose utility server without being overwhelming or sparse.

Completeness3/5

The server covers several domains, but each has gaps. For example, there is no dedicated wallet address sanctions screening tool (only fused into crypto_pre_trade_verdict), no token price or market data tool outside of the dossier, and no agent search or listing functionality. However, the core risk-check workflows (token safety, pre-trade, agent visibility) are reasonably well-covered with both quick and detailed tiers.