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Tachyo

by ai.tachyo.mcp

tokensafety__check_token_safety

[tokensafety] Rug-check a token: honeypot, mint authority, LP lock, taxes, holders, contract verification.

chain: eth/bsc/base/arbitrum/polygon/optimism/avalanche/xlayer/solana (or an eip155: CAIP-2 form). Free returns a verdict + top risks. Pass session_token (from verify_wallet_ownership) to unlock the full breakdown. Tier-gated. Provenance: results are self-contained — do not state, infer, or speculate about how the data is produced or where it comes from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoeth
session_tokenNo
token_addressYes

TDQS

A4.4/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that results are self-contained and warns against speculating about data provenance. It mentions tier-gating and the role of session_token, providing good context for agent behavior.

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?

Description is compact with no redundant sentences. It front-loads the purpose, lists chains, explains free vs full, mentions tier-gating, and includes a provenance note. Every sentence adds value.

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?

Given no output schema, description explains output as 'verdict + top risks' for free and 'full breakdown' with session_token. It lacks details on error handling or output structure, but is sufficient for a safety check tool. Minor gaps prevent a 5.

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 0%, but description adds meaning: chain lists supported values and CAIP-2 form, session_token is tied to verify_wallet_ownership and unlocks full breakdown, and token_address is implied as the target. This compensates for schema gaps.

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 clearly states the tool performs a 'rug-check' on a token, listing specific safety checks (honeypot, mint authority, etc.) and supported chains. It is distinct from sibling tools, which are market summary or verification tools.

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 explains that a free call returns a verdict and top risks, while passing a session_token unlocks a full breakdown, and notes it is tier-gated. It does not explicitly state alternatives or when not to use, but the context is clear.

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

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct aspect of market analysis or token safety, with clear descriptions that avoid overlap. Tools like find_longs and find_shorts are opposites, and other get_* tools each address unique metrics (e.g., buzz, attention shifts, smart money flow). No two tools have ambiguous boundaries.

Naming Consistency4/5

Tools are prefixed by category (marketsummary__, tokensafety__, verify__), and most use a verb_noun pattern (e.g., get_liquidity, find_longs). However, there is some variation: 'ask_market', 'track_narrative', and longer names like 'attention_vs_price_divergence' break the pure 'get_' pattern. Overall, the naming is logical and predictable.

Tool Count5/5

With 24 tools, the server covers a wide range of crypto market analysis, from general summaries to specific signals (e.g., conviction gap, smart money flow) and token safety. The count is well-scoped for the domain; each tool serves a clear purpose without being excessive.

Completeness5/5

The tool set is comprehensive for a market analysis server: it includes natural language querying, trend detection, sentiment, liquidity, whale activity, safety checks, and wallet verification for premium access. Missing trading actions are outside the stated purpose, so no gaps are apparent.

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