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dMoERA Creator

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get_marketplace_bots

List bots published to the marketplace.

Args:
    domain: Filter by domain (e.g. "eth_usdc"). Omit for all domains.
    sort: Sort order — "rating", "return", "subscribers", or "newest".
    limit: Max results (default 20, max 100).

Returns JSON array of marketplace listings with: listing_id, bot_id,
title, description, domain, creator, monthly_price_usd, cached stats
(win_rate, return_bps, sharpe), subscriber_count, and avg_rating.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNorating
limitNo
domainNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It clearly indicates a read-only listing operation and reveals that returned stats are 'cached,' which is an important behavioral nuance. It stops short of mentioning rate limits or auth requirements, but for a list tool the core behavior is well disclosed.

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

Conciseness5/5

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

The description is well-structured with a clear purpose line, an Args block, and a Returns block. Every sentence adds value, and the parameter details are concise and directly usable by an agent.

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?

For a simple read-only listing tool, the description covers all invocation details: optional parameters, valid values, defaults, and the return shape. The explicit mention of cached stats adds useful context beyond the output schema, making the definition effectively complete.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must fully explain the parameters, and it does. It gives the domain format with an example, enumerates valid sort values, and specifies limit defaults and maximum. This is strong compensation for the schema gap.

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 starts with 'List bots published to the marketplace,' which clearly identifies the verb, resource, and scope. It does not explicitly distinguish from sibling tools like list_bots or browse_fund_marketplace, but the 'marketplace' qualifier provides enough specificity for basic differentiation.

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?

The description implies this tool is for viewing marketplace bots, and the parameter guidance (e.g., 'Omit for all domains') is useful. However, it never states when to prefer this over list_bots or browse_fund_marketplace, nor does it provide when-not-to-use guidance.

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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