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One world entity with its loot

get_world_entity
Read-onlyIdempotent

One world entity with its loot. The entity's slug, display_name, is_npc, npc_hp, icon_url and loot_source_id (null when it drops nothing), plus drops - its five likeliest drops (shortname, display_name, icon_url, chance_pct, amount_min, amount_max) - and drop_count, the full number of distinct drops. The complete table is /loot-tables/{loot_source_id}. Cached for one hour.

Input Schema

NameRequiredDescriptionDefault
slugYesEntity slug from `/world`, e.g. `bear`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover readOnly/idempotent, so credit goes for the extras: a one-hour cache window (an agent knows results can be stale), `loot_source_id` being null when the entity drops nothing, and `drops` being capped at five with `drop_count` giving the true total. It does not mention auth requirements or failure behavior for an unknown slug.

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?

Front-loaded with the one-line purpose, then the return shape, then the pointer to the full table and the cache note. The field enumeration is long but each field name earns its place given there is no output schema; only the line wrap inside the sentence is awkward.

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?

With no output schema, the description carries the return contract itself and does so thoroughly: entity fields, null semantics, the five-drop cap, the total count, and where to get the rest. For a one-parameter read tool with full annotation coverage, nothing an agent needs is missing.

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% and the single `slug` parameter is fully documented there (including the `bear` example and length bounds), so the description adds no parameter-level information. Baseline 3 applies when the schema does the work.

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?

States a specific verb+resource: fetch a single world entity (by slug) together with its loot, and enumerates exactly what comes back. It reads clearly as the single-entity counterpart to search_world_entities, but it never names that sibling, so differentiation is inferred rather than stated.

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 only implied: 'One world entity' signals lookup-by-slug versus the search/list siblings, and the trailing pointer to `/loot-tables/{loot_source_id}` effectively routes the agent to get_loot_table when the top-five drops are insufficient. There is no explicit when-to-use/when-not statement.

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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