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get_replication_info

Read-onlyIdempotent

Read an actor's current replication settings to inspect movement, physics, client loading, relevancy, and dormancy before configuring replication.

Instructions

Read one actor's current replication settings -- the exact read-side of configure_replication, returning the same fields it can write (replicate_movement, replicate_physics, net_load_on_client, net_use_owner_relevancy...), so a read-check-write round trip lines up field for field. For a whole-project sweep use audit_replication; to enumerate the replicated actors in the world, list_replicated_actors.

Returns: { actor_name, actor_class, replicate_movement, replicate_physics, net_load_on_client, net_use_owner_relevancy, always_relevant, bReplicateMovement?, bReplicates?, dormancy?, net_dormancy_int? }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actor_nameYesEngine actor name (matches GetName())

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent and non-destructive, so the safety profile is covered. The description adds genuinely useful context: the field-for-field alignment with configure_replication enables a read-check-write round trip. It does not mention error behavior for a missing actor, which holds it below a 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-loads the purpose, then routing, then returns. The field enumeration in the Returns block is somewhat long but earns its place because no output schema exists. Minimal waste overall.

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?

No output schema exists, so the description's Returns block carries the return-shape burden, listing the exact fields plus optional ones. Combined with routing and the round-trip note, an agent has everything needed to call and interpret this tool.

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 parameter (actor_name) is described there as matching GetName(). The description adds no parameter-level detail beyond that, so the baseline 3 applies.

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 (read) and resource (one actor's replication settings) and explicitly positions itself as the read-side counterpart to configure_replication. It names its sibling alternatives, so an agent can distinguish it without opening any schema.

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

Usage Guidelines5/5

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

Explicitly routes the agent: 'For a whole-project sweep use audit_replication; to enumerate the replicated actors in the world, list_replicated_actors.' This is a textbook when-to-use-this-vs-alternatives 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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