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anythink-cloud

Anythink-MCP

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Entities: create

entities_create

Create a new backend entity or table with a name, and optionally enable row-level security, public query access, junction-table behavior, or API record locking.

Instructions

Create a new entity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rlsNoEnable row-level security
nameYesEntity name (e.g. 'customers', 'orders')
publicNoMake entity publicly queryable (no auth required)
junctionNoMark as a many-to-many junction table
lock_recordsNoPrevent creation of new records via API

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.27

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the safety profile is covered structurally. The description adds no behavioral context beyond restating the operation, such as authorization requirements, uniqueness constraints, or side effects of creating an entity.

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?

The description is a single front-loaded sentence with no filler or redundancy. It is appropriately concise for the purpose statement, though its brevity leaves other useful information absent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a five-parameter creation tool with no output schema, the description does not explain what an entity is, when to create one, or how it relates to sibling creation tools. Annotations and schema cover safety and parameters, but the description is too thin to ensure correct selection among the many create-like siblings.

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 description coverage is 100%, so every parameter is already documented in the input schema. The description adds no parameter-level meaning, which is acceptable at the baseline of 3 when the schema fully does that job.

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 clear verb and resource: 'Create a new entity'. This distinguishes it from non-create entity siblings like entities_get or entities_delete, but it does not differentiate it from other create-style tools such as data_create or accounts_create. It is clear but lacks sibling-specific context.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no mention of any related tools. The agent is left to infer usage entirely from the name and schema.

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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