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defi-agent

lp_position_plan

Read-only

The DeFi agent, on your position, the paid half (0.10 USD1, or half that in $BOBAI): What the agent that runs this project's own PancakeSwap V3 position would decide about yours, from the same code: whether it is in range and how much room is left to each edge, what it holds and is worth in BNB, what it is owed in fees and whether collecting pays for its own gas, whether a re-set is due and in which width — the width that ended the most ahead against simply holding over the last week when every width was replayed over the recorded prices (its fees, less the gas of its re-sets, plus where it stood against a wallet that held), the width in use kept unless another leads it by a tenth — and what the wallet's spare BNB would add. It reads and plans; it signs nothing on your position. Calling this tool returns the terms; the answer is sold over x402 at https://agent.brainonbnb.com/answer?service=lp_position_plan (or hired through the ERC-8183 escrow for 0.10 $U).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNoWhat you want, with the address in it

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered; the description adds genuinely new behavioral facts: it signs nothing on the position, it only reads and plans, and the answer is a paid artifact sold over x402 at a specific URL (0.10 USD1 or half in $BOBAI) or via ERC-8183 escrow. That payment/billing requirement is exactly the kind of context annotations cannot express. It stops short of describing latency, failure modes, or the shape of the delivered answer.

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

Conciseness2/5

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

The description is one sprawling run-on sentence dense with em-dashes and nested parentheticals, so the core purpose is not front-loaded and key facts (payment, read-only) are buried. Nothing is wasted per se, but the structure actively impedes scanning of what should be a short statement of what the tool computes and what it costs.

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?

For an open-world paid tool with no output schema and a trivial one-param schema, the description does cover the computational scope and the payment mechanism. What it omits is the actual invocation/return workflow — 'Calling this tool returns the terms' is vague about whether the caller gets a payment challenge or the answer, which matters for an x402-gated service. Adequate but with a real gap around how the call resolves.

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 and 100% schema description coverage ('What you want, with the address in it'), the schema already carries the meaning, so the baseline is 3. The description adds nothing about the task string itself — no format, no required address syntax, no examples of what 'what you want' should contain.

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 verb and resource: it computes what the project's PancakeSwap V3 agent 'would decide about yours', spelling out the concrete outputs (in-range status, room to each edge, holdings/value in BNB, fees owed vs. gas, re-set decision and width). That is far more than a restatement of the name. However it never distinguishes this from the sibling lp_position_look, so an agent must infer the boundary from the incidental phrase 'the paid half'.

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 only implied: the opening 'the paid half' suggests a free counterpart (presumably lp_position_look) without ever naming it or stating the condition for choosing this tool over that one. There are no exclusions or prerequisites beyond the incidental note that it 'reads and plans; it signs nothing on your position'. An agent can guess when to reach for this, but it is left 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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