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pair_info

Read-onlyIdempotent

Pool price, liquidity, volume & buy/sell counts — Given a Base DEX pair (pool) address, returns price, liquidity, 24h volume, buy/sell transaction counts and FDV from DexScreener. For agents analysing a specific pool's depth and activity. Required input: pair. Priced $0.02 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYesPair (pool) address

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoThe result payload. Shape is service-specific; every field is documented in the tool description.
serviceNoThe service id that answered.
checkedAtNoISO-8601 timestamp of when the underlying reads were taken.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / data / description
      Previous value: -"The result payload. Shape is service-specific; every field is documented in the service description above."New value: +"The result payload. Shape is service-specific; every field is documented in the tool description."
  2. Changed1 schema field changed
    • removedOutput schema / required
      Removed value: -[
      -  "data"
      -]
  3. Added

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description goes further by naming DexScreener as the data source, disclosing the $0.02 per-call pricing, the x402 billing mechanism, the x-credit-token header option, the free daily call, and the absence of wallet/API-key requirements. This gives the agent full operational expectations beyond the safety profile.

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 core function is front-loaded in the first clause, followed by use case and billing details. Every sentence carries useful information, though the pricing and free-tier explanation adds length and could arguably live in an annotation. Still, it remains structured and scannable.

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?

With a single documented parameter, rich annotations, and an output schema present, the description covers the essential context: what data is returned, for which network, who should use it, and what it costs/requires. Nothing critical for invoking the tool correctly is missing.

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% and the schema already defines pair as 'Pair (pool) address'. The description adds value by specifying that the address must be a Base DEX pair (pool) and emphasizing it is the required input. That extra network and address-type context helps the agent pass a valid value.

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 opens with a precise inventory of outputs — price, liquidity, 24h volume, buy/sell counts, and FDV — tied to a specific Base DEX pair address. It clearly distinguishes this from broader token or market tools by scoping it to a single pool's depth and activity. A specific verb ('returns') plus resource ('pair') makes the purpose unmistakable.

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?

It explicitly states the intended use case: agents analysing a specific pool's depth and activity. It also names the one required input (pair). It does not name alternative sibling tools or state when not to use it, but the context is clear enough that an agent can decide appropriately.

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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