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land_regions_counts

Query Splinterlands land regions counts to get ownership, listings, prices, and staking per region, optionally filtered by player, rarity, status, geography, plot type, magic type, or kingdom type.

Instructions

List the 150 region count rows returned by GET /land/regions/counts. The unscoped call returns {status: "success", data: []}, an empty list. When a player is named, the response still carries all 150 regions rather than only that player's regions. Each row contains region.uid, region.name, region.region_number, for_sale, owned, listed, min_price and dec_stake. owned and dec_stake are the named player's fields. An unknown name returned the 150-row shape with owned and dec_stake zero; behaviour for a known account with no holdings was not captured.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playerNo
rarityNo
statusNo
geographyNo
plot_typeNo
magic_typeNo
kingdom_typeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.2
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv0.0.0

TDQS

B3.3/5.0
Behavior5/5

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

No annotations are present, so the description carries the full burden, and it delivers: it discloses that an unscoped call returns an empty data array, that a named player still yields all 150 regions, that owned and dec_stake belong to the named player, and that an unknown name returns zeroed fields. It even candidly flags that behavior for a known account with no holdings was not captured.

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 description is dense with useful information and front-loads the endpoint name, but the opening phrase 'List the 150 region count rows' sits awkwardly with the next sentence saying the unscoped call returns an empty list. It is appropriately compact but not a model of structural clarity.

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?

Given there is no output schema and no annotations, the description does well to enumerate the row fields and edge cases. However, it leaves six of seven input parameters entirely unexplained, so an agent still lacks essential context needed to invoke the tool correctly with filters.

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 coverage is 0%, yet the description explains only the player parameter and even then mostly its non-filtering behavior. The other six parameters — rarity, status, geography, plot_type, magic_type, kingdom_type — receive no explanation at all, leaving agents to guess their meaning or valid values.

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 operation — listing region-count rows — and names the exact endpoint, GET /land/regions/counts. It is clear that this tool returns region count data rather than being a generic 'get data' tool, though it does not explicitly distinguish itself from sibling land_* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance about when to use this tool versus alternatives such as land_tracts_counts or land_deeds_owned. The player-scoping behavior is described, but the practical recommendation — call with a player to get meaningful data — is left implied rather than stated.

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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