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get_token_dex_trades

DEX trades for a specific token across all participants in a date window. Returns raw swap events with wallet, size and pool metadata; useful for post-hoc flow analysis on a single token. Native ETH is read as WETH, and the token must be deployed on the chain asked for.

[Access: pay 0.02 USDC via x402 (PAYMENT-SIGNATURE header) OR authenticate with an API key. An x402-capable client will auto-pay; API-key clients pay nothing per call.]

Input Schema

NameRequiredDescriptionDefault
pageNoPage number for pagination.
chainNoChain name or slug, e.g. ethereum or base.ethereum
symbolYesAsset symbol, e.g. BTC or ETH.
date_toNoISO date string for the end of the window.
filtersNoOptional filter object passed through to the upstream provider.
order_byNoOptional ordering list passed through to the upstream provider.
per_pageNoPage size for pagination.
date_fromNoISO date string for the start of the window.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well: it discloses the payment/authentication model (x402 auto-pay or API key, per-call cost), what the response contains ('raw swap events with wallet, size and pool metadata'), and two real gotchas (native ETH read as WETH; token must be deployed on the requested chain). It omits pagination behavior and any failure/empty-result semantics.

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 core capability, the return shape and the two caveats are front-loaded in two tight sentences, followed by a bracketed access note that is clearly separated by purpose. No wasted prose, though the payment block is somewhat verbose relative to the functional description.

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?

For an 8-parameter, nested-object tool with no annotations and no output schema, the description covers what is needed: what comes back, which token/chain combination is valid, and how access is paid for. Missing only pagination/result-size guidance, which matters given per_page defaults to 100.

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 coverage is 100%, so the schema already documents all eight parameters, making 3 the baseline. The description adds modest value by framing date_from/date_to as a 'date window' and by constraining the chain parameter with the 'must be deployed on the chain asked for' rule, but says nothing about the pass-through behavior of filters/order_by beyond the schema.

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 opening sentence gives a specific verb+resource+scope: 'DEX trades for a specific token across all participants in a date window', which contrasts implicitly with the smart-money siblings. It does not name an alternative tool, so the distinction from get_smart_money_dex_trades must be inferred from 'all participants'.

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?

'Useful for post-hoc flow analysis on a single token' implies the intended context, giving the agent a rough sense of when this fits. However, there is no explicit when-not guidance and no named alternative (e.g. use get_smart_money_dex_trades for curated wallets), so routing remains partly guesswork.

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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