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anythink-cloud

Anythink-MCP

Official

Entities: list

entities_list
Read-only

List every database table in the active project, including table name, field count, and public or row-level security status; system entities are excluded.

Instructions

List all entities. Returns each entity (table) in the active project with its database table name, field count, and whether it is public or has row-level security (RLS) on. System entities are not included. To see one entity's settings and field definitions, use entities_get.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.27

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds meaningful context beyond that: which fields are returned, that system entities are excluded, and that RLS/public status is surfaced.

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?

Three tight sentences, front-loaded with the action, then the return payload, then the routing hint. Every sentence earns its place with no filler.

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 burden of describing return values, and it does so (table name, field count, public/RLS status) plus the system-entity exclusion. Nothing needed to call this zero-arg list correctly is missing.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline is 4. The schema coverage is 100% (empty object), and the description correctly does not invent parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (list) and resource (entities/tables) scoped to the active project, and explicitly distinguishes itself from the singular `entities_get`. An agent can tell it apart from siblings like entities_create/entities_update without opening a schema.

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

Usage Guidelines4/5

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

Routes the agent to the correct alternative with an explicit condition: use `entities_get` for one entity's settings and field definitions. It gives clear context but does not mention other near alternatives (e.g., fields_list) or exclusions such as when not to 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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