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dex_liquidity_router

Aggregates pool depth, 24h volume, spread, and pricing across DEXs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chain_idNo
token_addressYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that it 'aggregates' data, implying a read operation, but does not mention return format, pagination, rate limits, authentication, or any side effects. This is minimal disclosure for a tool that likely makes network calls across multiple DEXs.

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 description is a single, front-loaded sentence with no fluff. It efficiently states the core action and metrics, demonstrating good conciseness. However, it is so short that it lacks necessary details, but that is a completeness issue rather than a structure problem.

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

Completeness2/5

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

Given the tool has 2 parameters, no annotations, and no output schema, the description is incomplete. It fails to explain what the return value looks like (e.g., a single aggregate vs. per-DEX breakdown), nor does it clarify the role of token_address and chain_id. An agent cannot confidently call this tool correctly based solely on the provided information.

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

Parameters1/5

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

The schema description coverage is 0%, so the description must compensate for parameter meaning. However, the description does not mention token_address or chain_id at all, leaving the required parameter and optional chain filter unexplained. The agent must rely solely on the property names, which is insufficient given the lack of contextual detail.

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 description clearly states the tool aggregates pool depth, 24h volume, spread, and pricing across DEXs, which is a specific verb and resource. It distinguishes itself from sibling tools (contract_security_screener, cross_chain_bridge_optimizer) by focusing on liquidity and pricing metrics, making its purpose clear without being a tautology.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. It neither mentions the sibling tools nor provides any exclusions or conditions. An agent would have no indication of when this tool is appropriate compared to a security screener or bridge optimizer, leaving usage entirely to inference.

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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