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create_string_table

Creates and saves an empty Unreal Engine UStringTable asset at a given package path and namespace; existing tables are returned unchanged. Add entries separately with set_string_table_entry.

Instructions

Creates a UStringTable asset at package_path/name with the given namespace and no entries, then saves it. A string table already there is returned unchanged (namespace not applied, already_exists true). Returns asset_path, string_table_id, namespace, entry_count, created, saved. Add entries with set_string_table_entry.

Returns: { name: string, package_path: string, asset_path: string, string_table_path: string, string_table_id: string, namespace: string, entry_count: int, created: bool, already_exists: bool, saved: bool, message: string }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the new StringTable asset
namespaceNoOptional namespace for all entries, defaults to asset name
package_pathNoTarget content path, defaults to /Game/StringTables

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations mark this as a non-read-only, non-destructive, non-idempotent mutation, and the description goes beyond them: it discloses that a pre-existing table is returned unchanged with namespace not applied and already_exists true, that the asset is saved, and that no entries are created. Authorization and rate/side-effect specifics are still absent, keeping it shy of 5.

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 create action, then the edge case, then the return fields, then the follow-up tool. Efficient and ordered well, though the inline Returns enumeration duplicates information already conveyed narrative-wise.

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

Completeness4/5

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

With no output schema, the description helpfully enumerates the return fields (asset_path, string_table_id, namespace, entry_count, created, saved, message) and covers creation semantics, the collision case, and the next step. Complete enough for an agent to call and interpret it, missing only permission/error context.

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 name, namespace, and package_path are already documented with defaults. The description restates their roles and adds one semantic nuance (namespace not applied on an existing table), but the schema does the heavy lifting; baseline 3 is appropriate.

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 and resource ('Creates a UStringTable asset at package_path/name') and specifies the initial state (no entries) and the save. It routes to the sibling for populating entries via 'Add entries with set_string_table_entry', so an agent can distinguish it from the many string_table tools 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?

Implicitly defines the create-then-fill workflow by pointing at set_string_table_entry for entries, and clarifies the already-exists case. It doesn't state prerequisites (e.g., permission needs, whether the package path must exist) or explicitly when not to use it, so it's clear context rather than full when/when-not guidance.

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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