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getNetworkPools

Read-onlyIdempotent

Get the top liquidity pools across a whole network, ranked by 24h volume by default, returned under 'results' with has_next_page and next_cursor. Read-only and keyless. This is the primary chain-wide pool discovery tool. Use for 'biggest pools on ethereum', 'top trading pairs on Base', or 'most active pools on Solana'. Narrow to one exchange with getDexPools, or apply numeric/time filters with getNetworkPoolsFilter. Params: network (required slug); limit (default 10, max 100); cursor (pass previous next_cursor to page); sort_by (default 'volume_usd_24h', canonical *_24h fields, alias order_by); sort_dir 'asc' or 'desc' (default 'desc', alias sort).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoOPTIONAL: alias of sort_dir; both are accepted. Not deprecated at the REST layer: api.dexpaprika.com itself takes sort, so use this name when calling the REST API directly.
limitNoOPTIONAL: Number of items per page (default: 10, max: 100)
cursorNoOPTIONAL: Pagination cursor. Pass `next_cursor` from a previous response to fetch the next page (read `has_next_page` to know if more remain). Replaces the old page number.
networkYesREQUIRED: Network ID from getNetworks (e.g., 'ethereum', 'solana')
sort_byNoOPTIONAL: Sort field. Canonical parameter name. Defaults to 'volume_usd_24h'. Prefer the canonical *_24h names; short legacy names (volume_usd, transactions, last_price_change_usd_24h) are still accepted. The REST API calls this parameter order_by.
order_byNoOPTIONAL: alias of sort_by; both are accepted. Not deprecated at the REST layer: api.dexpaprika.com itself takes order_by, so use this name when calling the REST API directly.
sort_dirNoOPTIONAL: Sort direction (asc/desc). Canonical parameter name. Defaults to 'desc' if neither sort_dir nor sort is provided. The REST API calls this parameter sort.
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.

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, but the description adds 'Read-only and keyless' and describes the response structure (results, has_next_page, next_cursor) and cursor-based pagination, providing useful behavioral context beyond annotations. It does not mention rate limits or error behavior, but this is not a major gap given the safety hints.

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 concise and front-loaded: it states the primary purpose, gives usage examples, differentiates alternatives, and summarizes all parameters in a compact way. No wasted words.

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?

Despite 8 parameters and no output schema, the description covers the main purpose, use cases, parameter semantics, pagination behavior, and response format. It is sufficiently complete for an agent to invoke the tool correctly.

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 baseline is 3. The description adds value by summarizing parameters and clarifying canonical names vs aliases (sort_by vs order_by, sort_dir vs sort), which helps the agent choose the correct parameter names.

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 gets 'the top liquidity pools across a whole network' and default ranking by 24h volume. It explicitly distinguishes from sibling tools by saying 'Narrow to one exchange with getDexPools, or apply numeric/time filters with getNetworkPoolsFilter.'

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides concrete example queries ('biggest pools on ethereum', 'top trading pairs on Base') and explicitly names alternatives for different scopes, giving clear when-to-use 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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TDQS

A4.4/5.0
Disambiguation5/5

Every tool has a clearly distinct purpose: network listings, DEX listings, pool discovery, pool snapshots, OHLCV, transactions, token details, multi-price, token pools, search, stats, and feedback. Potential overlaps like getTopTokens vs filterNetworkTokens are explicitly disambiguated in descriptions.

Naming Consistency4/5

Mostly follows camelCase verb-first pattern (getNetworks, getPoolDetails, getTokenMultiPrices). However, the pair filterNetworkTokens and getNetworkPoolsFilter are inconsistently structured; the latter should logically be filterNetworkPools for full consistency.

Tool Count4/5

At 17 tools, it slightly exceeds the ideal 3-15 range, but each tool covers a distinct data operation for a comprehensive DEX-market API. The count feels justified given the breadth of features, though it is on the heavier side.

Completeness4/5

The domain of read-only DEX analytics is well covered: networks, DEXes, pools, tokens, search, stats, and per-pool history. Minor gaps exist, such as no direct token price history endpoint, but pool OHLCV and token details cover most needs.

Resources