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pancakeswap_fee_tiers

Read-only

Liquidity placement, the free half: the up-to-five PancakeSwap pools a pair lives in and which fee tier is actually paying its liquidity providers. The paid half plans the position: the tier and the range to put it in. It signs and moves nothing.

Input Schema

NameRequiredDescriptionDefault
addressYesA BEP-20 token address on BNB Chain (0x…)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "address": "0x0e09fabb73bd3ade0a17ecc321fd13a19e81ce82"
      +  }
      +]
  2. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, and the description reinforces this with 'It signs and moves nothing', which directly addresses the common agent worry about whether a liquidity tool will submit a transaction. It also discloses the five-pool result cap, a behavioral detail not present in annotations or schema. It stops short of describing pagination or what happens when a token has no pools.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and the key capability is front-loaded, but the colon-based 'free half / paid half' framing is stylized and requires unpacking, and the second sentence is about a different tool rather than this one. Content earns its place, but the phrasing could be plainer.

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?

There is no output schema, so the description must convey the return shape; it does so only loosely (up to five pools plus their active fee tier) without naming fields or ordering. For a one-parameter read-only lookup this is adequate, but an agent still lacks a precise picture of the response.

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?

With a single parameter at 100% schema description coverage, the schema already carries the semantics ('A BEP-20 token address on BNB Chain'). The description adds no format or constraint detail and in fact refers to 'a pair' where the schema expects one token address, so it neither compensates nor clarifies beyond baseline.

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 the concrete resource — the up-to-five PancakeSwap pools a token trades in and which fee tier is paying LPs — plus a scope cap ('up-to-five'). It never uses an explicit verb like 'list' or 'return', and it speaks of 'a pair' while the schema takes a single token address, but an agent can still tell what data comes back and how it differs from lp_tier_plan ('the paid half plans the position').

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?

Usage is implied through the 'free half' vs 'paid half' framing: this is the discovery step, and the planning step is the paid one. However, the sibling lp_tier_plan is never named and no explicit when-to-use / when-not-to-use condition is stated, so the agent must infer the ordering.

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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