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market_for_sale_packages

Retrieve listed card packages for sale on the Splinterlands market, keeping each package's cards intact. Filters narrow results, and local limits return complete packages without exceeding size constraints.

Instructions

Read listed card packages, retaining each package's cards intact. Only complete packages within the local result bound are returned; a package too large to fit is refused without dropping its cards. Makes one logical GET request and does not auto-fetch continuation pages. Required inputs reflect tool policy as well as measured upstream requirements. Other declared filters are forwarded as supplied; their effectiveness is not implied by the schema. Array responses are locally limited to 100 rows and 256 KiB, with truncation reported in text and metadata. Oversized records are refused without partial fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.0

TDQS

A3.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so thoroughly: it states one logical GET, no auto-fetch continuation, 100-row/256 KiB local limits, truncation reported, oversized records refused without partial fields, and filter forwarding without guaranteed effectiveness. These are concrete call consequences beyond any schema information.

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?

The lead sentence is strong and front-loaded, but the description runs seven sentences and repeats the no-partial-refusal idea in two places; the 'required inputs…' sentence adds little to an empty-schema tool. Still compact enough to parse.

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?

There is no output schema, so the description must cover return and limit behavior; it does, with array limits, truncation reporting, and refusal semantics. It doesn't specify the normal successful payload shape or field names, but for a zero-parameter read tool this is a minor gap.

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

Parameters4/5

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

Input schema is empty with 0 params, so there are no undocumented parameters and the 0-param baseline applies. The passing mention of 'required inputs' and 'declared filters' is generic boilerplate and slightly confusing given additionalProperties:false, but it does not fail to document any actual parameter.

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?

First clause names a concrete operation ('Read listed card packages') and adds distinctive semantics ('retaining each package's cards intact'), so the tool's object is clear. It never names an alternative or contrasts with sibling market endpoints like market_for_sale_grouped, so sibling differentiation is left to inference.

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?

No explicit 'use when' or 'vs alternative' guidance appears; the description implies the tool suits callers who need intact complete packages and single-page GETs, but it doesn't say when to prefer this over the many sibling market endpoints. There are no exclusions or prerequisites.

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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