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dex_market_get_tx_stats

Destructive

Per-interval buy/sell volume and tx counts (5m–24h). Candlesticks→get_kline. Pool events→get_pair_liquidity.

Input Schema

NameRequiredDescriptionDefault
chainYesChain name. Supported: bsc, base, eth, solana, arbitrum, polygon, avalanche, fantom, zksync, linea, optimism, sui, blast, tron, merlin, world, eni, bera, gatelayer, ton
pair_addressNoOptional pair address
token_addressYesToken contract address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior1/5

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

The annotations declare destructiveHint=true and readOnlyHint=false, while the description clearly describes a read-only market data retrieval function ('buy/sell volume and tx counts'). This is a direct contradiction, as the description implies a non-destructive operation. The description also provides no additional behavioral context to resolve this.

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?

The description is two sentences and entirely functional. The first sentence states the tool's core function, the second immediately provides routing to sibling tools. No wasted words, and structure is front-loaded.

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?

For a simple data retrieval tool with three parameters, the description covers purpose and alternatives, but it omits return value details (no output schema exists) and does not address the destructive annotation contradiction. The interval ranges (5m–24h) add some context, but overall the description leaves some gaps for agent decision-making.

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 all three parameters are already explained in the schema. The description adds no parameter-level detail beyond the schema, matching the baseline of 3 where the schema does the heavy lifting.

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 states the tool provides 'Per-interval buy/sell volume and tx counts (5m–24h)', which is a specific, searchable function. It also distinguishes itself from related tools by explicitly directing to get_kline for candlesticks and get_pair_liquidity for pool events, making its purpose unambiguous.

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 clearly tells when to use this tool (for volume and tx stats) and names alternatives for other data types ('Candlesticks→get_kline. Pool events→get_pair_liquidity.'). It lacks an explicit 'do not use when...' list, but the alternative mapping serves as strong guidance.

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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