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coinpaprika

DexPaprika (CoinPaprika)

Official

getPoolTransactions

Read-onlyIdempotent

Get recent transactions for a liquidity pool on supported networks. Apply time-range filters using UNIX timestamps to view activity from the last 7 days.

Instructions

Get recent transactions for a pool. Use from/to for time-range filtering (UNIX epoch seconds, results capped to last 7 days). REQUIRED: network, pool_address. OPTIONAL: page, limit, cursor, from, to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
networkYesREQUIRED: Network ID from getNetworks (e.g., 'ethereum', 'solana')
pool_addressYesREQUIRED: Pool address or identifier
pageNoOPTIONAL: Page number for pagination, up to 100 pages (default: 1, 1-indexed)
limitNoOPTIONAL: Number of items per page (default: 10, max: 100)
cursorNoOPTIONAL: Transaction ID used for cursor-based pagination
fromNoOPTIONAL: Filter transactions starting from this UNIX timestamp (inclusive). Results always capped to last 7 days.
toNoOPTIONAL: Filter transactions up to this UNIX timestamp (exclusive). Must be after 'from'.
rationaleYesREQUIRED. 1-2 sentence rationale for this call (e.g. "User asked for X; calling Y to fetch Z"). Logged for MCP improvement, never shown to end users. No PII or secrets. See the server `instructions` field for the full convention and worked examples.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
transactionsYes
page_infoYes
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds valuable behavioral context: results are capped to last 7 days, and the 'rationale' parameter is logged for internal improvement. No contradictions.

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, front-loading the primary action and immediately providing parameter usage. Every sentence is efficient and informative.

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

Completeness5/5

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

Given 8 parameters, full schema coverage, annotations, and output schema, the description covers the key behavioral constraints (time cap, required vs optional) and the rationale parameter's purpose. No missing critical details.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds practical context (required/optional flags, time filter details) that enhances schema info, largely compensating with usage guidance.

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 clearly states the tool retrieves recent transactions for a pool, using the verb 'Get' and the resource 'recent transactions for a pool'. It distinguishes itself from sibling tools like getPoolDetails and getPoolOHLCV.

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 specifies required and optional parameters, and provides guidance on time-range filtering with a cap to 7 days. It doesn't explicitly mention when not to use or alternatives, but the context is clear for agent selection.

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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