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dex_liquidity_router

Aggregates liquidity depth, 24h volume, spread, and USD pricing across DEXs (DexScreener API).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chain_idNo
token_addressYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The description usefully discloses the external data source (DexScreener API) and the metrics returned. However, with no annotations provided, it carries the full burden for behavioral disclosure and does not mention read-only expectations, rate limits, data freshness, or error behavior.

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?

One sentence with no filler; the action and data scope are front-loaded. It efficiently conveys the core purpose without unnecessary elaboration.

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

Completeness3/5

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

The presence of an output schema reduces the need to describe return values, and the tool is relatively simple with one required parameter. Still, the description lacks usage guidance and parameter semantics, so an agent can identify the purpose but not fully judge invocation details or when it is the wrong tool.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must add parameter meaning, but it does not mention token_address or chain_id at all. The field names are self-explanatory at a basic level, but chain_id's empty-string default and accepted chain values are left undocumented.

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 uses a specific verb ('Aggregates') and names concrete resources: liquidity depth, 24h volume, spread, and USD pricing across DEXs. It clearly separates this tool from the security-screening and bridge-optimizer siblings because it is about DEX market data rather than contract risk or bridging.

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?

No explicit guidance is given for when to use this tool versus contract_security_screener or cross_chain_bridge_optimizer. The description implies use for DEX liquidity/pricing analysis, but it does not state prerequisites, exclusions, or alternative selection criteria.

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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