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get_listings

Active listings/auctions for a market. Each row carries the ask and the position's underlying contents priced at current market (published formula: /docs#data-sources), plus discountPct (the difference between them). Sorted by discount percentage, descending.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
limitNo
marketIdYesmarket id, e.g. 'vehydx'
nameContainsNocase-insensitive substring match on the listing's label (the name on name markets, e.g. 'alice'; 'veAERO #123' elsewhere)
minDiscountPctNoonly return orders at >= this discount %. IGNORED on markets whose asset has no priced underlying, where there is nothing to compare the ask against — the response says so in `note` rather than returning an empty market.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / minDiscountPct / description
      Previous value: -"only return orders at >= this discount %. IGNORED on markets whose asset has no priced underlying (e.g. basenames), where there is nothing to compare the ask against — the response says so in `note` rather than returning an empty market."New value: +"only return orders at >= this discount %. IGNORED on markets whose asset has no priced underlying, where there is nothing to compare the ask against — the response says so in `note` rather than returning an empty market."
  2. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It usefully reveals sorting, the discountPct computation, and the reference formula for underlying pricing. It does not mention pagination, empty-result behavior, authentication, or that this is a read-only operation, which are meaningful gaps for a tool with no annotation safety hints.

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 three tight sentences with no filler. It front-loads the purpose, then efficiently describes row semantics and sort order, so every sentence earns its place.

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 a moderate-complexity read tool with no output schema and no annotations, the description gives the essential return semantics and ordering but omits guidance on parameter selection, especially `kind` and `limit`, and does not help distinguish this tool from several similar siblings. It is minimally viable but not complete.

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

Parameters2/5

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

Schema description coverage is only 60%, and the description does not compensate for the undocumented `kind` and `limit` parameters. It does define `discountPct` conceptually, which slightly illuminates `minDiscountPct`, but it adds little meaning beyond the schema's own parameter descriptions.

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 clearly states the tool returns active listings/auctions for a market, and specifies the row contents (ask, underlying contents, discountPct) and sort order. This differentiates it reasonably from siblings like get_listing_details or get_orders, though it does not explicitly name them.

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 phrase 'for a market' implies the primary use case, and the sorting/filtering details suggest it is a market-level listing browse tool. However, it gives no explicit guidance on when to prefer this over get_listing_details, get_orders, or other sibling listing tools, leaving selection largely 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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