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gohluke

Dayze MCP

by gohluke

Get Entity Assets

get_entity_assets
Read-only

Retrieve assets linked to an entity, including roles, signed URLs, and versions. For inventory_item entities, it returns inventory.

Instructions

List assets linked to an entity (role, signed_url, versions). entity_type inventory_item → inventory. ($0.10; API key required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes
asset_typeNo
entity_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
assetsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.28.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare read-only and non-destructive behavior, and the description's 'List' wording is consistent. It goes beyond annotations by disclosing that an API key is required and that the call costs $0.10, which is operationally useful for an agent deciding whether to call it.

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 two compact sentences with no filler; the main verb is front-loaded and the cost/auth constraint is efficiently appended. The arrow notation is terse but packs useful parameter semantics into very few words.

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?

Cost, authentication, read-only intent, and some asset-type scope are covered, and an output schema exists so return format need not be described. However, with three un-described parameters, no enums, and many sibling tools, the description leaves enough ambiguity around entity_type values and the inventory mapping that invocation still requires inference.

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?

With 0% schema description coverage, the description must explain parameters, and it partially does: the parenthetical likely enumerates asset_type values and 'entity_type inventory_item → inventory' adds domain mapping. But it leaves entity_id implicit and does not enumerate valid entity_type values, so the compensation for low schema coverage is incomplete.

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 identifies the action ('List assets linked to an entity') and gives concrete asset-type examples (role, signed_url, versions), so an agent can tell what the tool returns. It does not explicitly contrast this with get_asset or get_inventory, so it misses the highest sibling-differentiation bar.

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 intended use is implied by 'List assets linked to an entity,' and the 'entity_type inventory_item → inventory' hint is context-specific. However, there is no explicit guidance about when to choose this over get_asset/get_inventory or when it should not be used, which is noticeable given the large sibling list.

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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