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bnb_agents_by_evidence

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Brain Plaza — the most reliable AI agents on BNB Smart Chain for one job, ordered by evidence: 30-day uptime from our daily pulse, delivery rate for outside buyers on the ERC-8183 escrow, how many outside buyers paid, whether it names a price. Categories: rebalancing, grid-trading, yield-optimization, health-factor. A paid listing never changes the order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many, 1-25 (default 10)
categoryYesrebalancing | grid-trading | yield-optimization | health-factor

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description goes beyond that by disclosing the ranking inputs (30-day uptime, escrow delivery rate, paying outside buyers, price disclosure) and the important behavioral guarantee that paid listings never affect order — a genuinely useful trait not present in structured fields.

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?

It is front-loaded with the core purpose and the anti-payola guarantee comes last where it lands well. The metric enumeration is slightly dense marketing prose, but every clause conveys ranking semantics rather than filler.

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

Completeness4/5

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

With only two parameters, full schema coverage, annotations covering safety, and no output schema to explain, the description supplies what an agent needs: what is listed, how it is ordered, and the categories accepted. Only the absence of sibling routing keeps it short of complete.

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 100%, so both parameters are already documented in the schema. The description restates the four valid categories but adds no formatting or semantic detail beyond the enum list, and never addresses the limit parameter. Baseline 3 is appropriate.

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 states a specific resource (AI agents on BNB Smart Chain) and the organizing principle (ordered by evidence), so an agent can tell this is a ranked discovery/list tool. It does not, however, distinguish itself from the sibling find_agents_on_bnb_chain, which looks like a near-neighbor.

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 rather than stated: pick a category and receive agents ranked for 'one job'. There is no explicit when-to-use / when-not-to-use guidance and no routing to or away from find_agents_on_bnb_chain or bnb_agent_census, which is a real gap for a discovery tool with close siblings.

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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