Skip to main content
Glama
Sign In
Carbon Cashmere MCP Server

Carbon Cashmere MCP Server

Official
by CarbonCashmere
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

post_v1_safety_token

Instantly vet any ERC-20 token for safety across 7 EVM chains, providing a clear verdict based on contract analysis and deployer reputation.

Instructions

Carbon-Guard Token Safety-Check: instant rug-pull & honeypot verdict for any ERC-20 token across 7 EVM chains. Fuses deep contract analysis (sell-restriction, transfer-tax, mint/owner powers) with the token deployer's on-chain reputation into one clear verdict (safe|warning|scam|uncertain) + reasons. Built for trading agents to vet a token before they buy. Price: $1.00. Category: general.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "post_v1_safety_token"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It explains the analysis (contract analysis, deployer reputation) and output (verdict types). However, it does not specify the input mechanism (token identification) despite implying input is needed. This omission reduces transparency, as the empty schema suggests no input, conflicting with the description's narrative.

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 well-structured and front-loaded with the key term. Each sentence adds value, covering purpose, method, target users, price, and category. It is concise for the information it conveys. However, the omission of input specification is a structural flaw that prevents a perfect score.

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

Completeness2/5

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

Given no output schema and no annotations, the description must be self-contained. It provides output format (verdict types) and analysis factors, but fails to clarify how the tool receives the token identifier. This is a significant gap for a tool that seemingly requires input. The description is incomplete in a critical aspect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero parameters with 100% coverage (trivially), so baseline is 3. The description adds no parameter semantics and instead introduces confusion by implying a token input without specifying how it is provided. It fails to add meaning beyond the schema and actually undermines clarity.

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 clearly states the tool's purpose: providing a rug-pull and honeypot verdict for ERC-20 tokens across 7 EVM chains. It specifies the action (safety check), resource (token), and output (verdict with reasons). However, the input schema has no parameters, creating ambiguity about how the token is specified, which slightly diminishes clarity.

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?

The description indicates the tool is 'built for trading agents to vet a token before they buy,' providing context. It also mentions price and category. However, it does not explicitly differentiate itself from sibling safety check tools (e.g., post_v1_safety_check_standard) or state when not to use it (e.g., for batch checks). Guidance is present but minimal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools