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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
assess_token_riskA

Safety check to run BEFORE buying, holding, or recommending a token. Returns an actionable verdict (low / medium / high / unknown), a 0-100 risk score, and the individual signals behind it. Covers: sell simulation (honeypot detection, buy/sell/transfer taxes), liquidity depth, trading-pair age, cross-chain presence, whether the contract is open source, and on Solana the mint/freeze authority and holder concentration — plus the aggregate verdicts of upstream security scanners. IMPORTANT: risk_level 'unknown' means a critical check could not be completed. It is NOT a low-risk result and must not be used to justify a trade; evidence.data_gaps lists exactly what was missing. 'confidence' measures how complete the input data was, not how safe the token is. Reports observable on-chain risk only. Not financial advice, does not size positions, and cannot see off-chain risk such as team behaviour, social engineering, or a rug executed through governance. Treat 'low' as 'no fatal signal found in the checks that ran', never as 'safe to buy'.

get_token_liquidityA

Liquidity snapshot for a token's primary trading pair: price, 24h volume, pair count and the chains it trades on. Check 'status' before using the numbers. 'ok' means real data. 'unavailable' means the upstream request failed, which does NOT mean the token has no liquidity. 'not_found' means no trading pair exists for this address at all. 'unpriced' means pairs exist but no source has costed them, so liquidity_usd is null and the depth is unknown -- this is NOT a report of zero liquidity. 'drained' means every pool on the token's own chain reports its depth and every one is empty: there is nothing to sell into.

find_new_hot_poolsA

Scan a chain for the newest and most active trading pools, returning name, token_address, price, liquidity, 24h volume and pool age. Discovery only. New pools carry inherently high risk and appearing here is NOT a safety endorsement — pass token_address straight to assess_token_risk for anything you intend to act on.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.5/5.0

Scored across 3 tools

Disambiguation5/5

Each tool targets a distinct stage in the token-vetting workflow: discovery of new pools, risk assessment, and liquidity snapshot. Although assess_token_risk and get_token_liquidity both touch liquidity, their purposes and outputs are clearly separated (verdict vs. market data).

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: find_new_hot_pools, assess_token_risk, get_token_liquidity. The verbs are descriptive and the object nouns clearly identify the target resource.

Tool Count5/5

Three tools is well-scoped for a focused vetting agent: one discovery entry point, one risk-check entry point, and one liquidity-data entry point. No tool is redundant and none is missing from the core workflow.

Completeness4/5

The set covers the full discovery-to-risk-to-liquidity pipeline with no dead ends. Minor gaps exist, such as no historical-tracking or token-profile/summary tool beyond the risk check, but agents can work around them.

Maintenance

ActivityMaintained
ResponsivenessNo issues