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get_coin

Everything T7 scores on one coin: REAL score and call, compound or conviction, payout APY / paid / last payout, market, launch radar, TOP 10 rank, recent signals.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "mint": "<mint>"
    },
    "name": "get_coin"
  }
}

Input Schema

NameRequiredDescriptionDefault
mintYesthe coin's mint address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses which data categories are returned but nothing about the safety profile, freshness/latency of scores, or what happens with an unknown mint. The 'get' naming implies a read, but that is inference rather than stated behavior.

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?

A single dense sentence that front-loads the core value ('Everything T7 scores on one coin') and then enumerates the payload. It is appropriately sized with no filler, though the slash-separated jargon list is harder to scan than a short structured clause would be.

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

Completeness3/5

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

With no output schema, the description rightly enumerates the returned fields ('payout APY / paid / last payout, market, launch radar...'), which is the right instinct. But terms like 'REAL score', 'T7', and 'compound or conviction' are undefined, leaving the agent unable to interpret the payload it will receive.

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?

There is a single required parameter, 'mint', with 100% schema description coverage ('the coin's mint address'). The description adds no format, chain, or validation detail beyond the schema, which is the expected baseline when the schema fully documents the parameter.

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 names a specific resource (one coin, keyed by mint) and enumerates the data categories returned, so the agent knows this is a per-coin aggregate lookup. However, it never explicitly contrasts itself with siblings like get_top or get_signals, even though it claims to include a 'TOP 10 rank' and 'recent signals' — overlap that a reader must resolve on their own.

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 word 'Everything ... on one coin' implies this is the comprehensive per-coin call to use when you have a mint address, which is reasonable contextual guidance. There is no explicit when-to-use statement, no exclusions, and no routing to get_signals/get_top/get_usage when the agent only needs one slice of data.

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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