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LPSignal

One pool's backtests

get_pool
Read-onlyIdempotent

A pool's details and its backtest of every range it is evaluated on (fee APR, impermanent loss, net APR, time in range, the exact ticks) over 1 hour, 24 hours, 7 days and 30 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainYes
addressYespool contract address (0x + 40 hex), or a Uniswap v4 pool id (0x + 64 hex)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld=false, so the safety profile is covered. The description adds real value by disclosing exactly what a call returns (fee APR, impermanent loss, net APR, time in range, exact ticks) across four fixed windows. It stops short of noting failure behavior for a bad address/pool id.

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?

A single dense sentence that leads with the resource and then the returned fields and time windows. Nothing is padded, though the parenthetical metric list is long enough that a lead sentence plus a second sentence would scan faster.

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 no output schema, the description carries the return-value burden and does so concretely for a read-only, idempotent lookup. Both required inputs are covered by the schema, and the safety profile is covered by annotations, so an agent has everything needed to call it correctly.

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

Parameters3/5

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

Schema coverage is 50%: the address parameter is documented in-schema (0x40 hex pool address or 0x64 hex v4 pool id) and chain has an explicit enum. The description contributes nothing about either parameter, so it neither compensates for nor worsens the half-documented schema. Baseline 3 applies.

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 names a specific resource (one pool's details plus its backtests) and enumerates the metrics returned, so it is clearly not the same as list_pools or find_pair_pools. It never names a sibling explicitly, and it opens with a noun phrase rather than a verb, so the differentiation is implied rather than stated.

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

Usage Guidelines3/5

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

Selecting this tool is inferable from the singular scope ("one pool's") plus the fixed 1h/24h/7d/30d windows, which contrasts with a custom-range sibling. However, no alternative is named and no condition is given for choosing this over backtest_range, leaving the routing 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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