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sodax_get_volume

Read-only

Retrieve solver volume data with filled intents for given input and output tokens. Filter by chain, solver, block range, or time range, with pagination support.

Instructions

Get solver volume data showing filled intents with filtering and pagination. Requires inputToken and outputToken. Optional filters: chain, solver, block range OR time range (don't mix both).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputTokenYesREQUIRED: Input token address
outputTokenYesREQUIRED: Output token address
chainIdNoFilter by chain ID (e.g., 146 for Sonic)
solverNoFilter by solver address (0x0...0 for default solver)
fromBlockNoStart block number (don't mix with since/until)
toBlockNoEnd block number (don't mix with since/until)
sinceNoStart time ISO format (don't mix with fromBlock/toBlock or fromTs/toTs)
untilNoEnd time ISO format (don't mix with fromBlock/toBlock or fromTs/toTs)
fromTsNoStart timestamp (unix seconds). Don't mix with since/until or fromBlock/toBlock.
toTsNoEnd timestamp (unix seconds). Don't mix with since/until or fromBlock/toBlock.
sortNoSort order by block numberdesc
limitNoMaximum number of filled intents to return (1-100)
includeDataNoInclude raw intent data in response
cursorNoPagination cursor from previous response's nextCursor
formatNoResponse format: 'json' for raw data or 'markdown' for formatted textmarkdown
Behavior4/5

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

Annotations already indicate readOnly and openWorld hints. The description adds behavioral context: the tool is read-only, returns filtered/paginated volume data, and enforces a constraint (no mixing time/block ranges). No contradictions with annotations.

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?

Two concise sentences that front-load the purpose and key constraints. Every word adds value; no fluff or redundancy.

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?

Given 15 parameters and no output schema, the description efficiently covers the core action, required inputs, and critical constraints. It could mention pagination cursor usage or response format, but the schema covers those, and the description is adequate.

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 schema already documents each parameter. The description adds key semantics by summarizing required tokens and the constraint against mixing time/block filters, which enhances clarity beyond the schema alone.

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 solver volume data for filled intents, with filtering and pagination. It specifies required tokens and optional filters, distinguishing it from other sodax_get_* tools that focus on different data (e.g., sodax_get_intent, sodax_get_solver_quote).

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?

Explicitly states required parameters (inputToken, outputToken) and warns not to mix block range and time range filters. While it doesn't name alternative tools, the usage constraints are clear enough for appropriate 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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