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okenjioxx

Roblox Executor MCP Server

by okenjioxx

getrendered — list instances currently being rendered

list-rendered-instances
Read-onlyIdempotent

Enumerate instances the Roblox engine is currently rendering, returning the full count plus capped samples of class, name, and path for render auditing, ESP checks, and visibility troubleshooting.

Instructions

Enumerate the instances the engine is currently rendering via getrendered() and return { count, samples }, where each sample is { class, name, path }. This is the set of objects actually on screen this frame — useful for ESP/render auditing, spotting which parts/GUIs are visible, or correlating a render spike with specific instances. The full count is reported even though only a capped sample of entries is returned. Requires getrendered — type-guarded and pcall-wrapped, returning { error } when missing or on failure. Returns { count, truncated, samples } or { error }. Signature: { limit: number?, threadContext: number?, timeoutMs: number? }. Phase: observe; cost=medium; idempotency=read-only. Requires: active-client. Produces: bounded-candidates. Safety: read-only. On failure: inspect tool-schema for exact fields, defaults, constraints, and an invocation example.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of sample entries to return (default 100). The full count is always reported.
timeoutMsNoOptional per-call deadline in milliseconds; omit it to use the tool or server default.
threadContextNoOptional Roblox thread identity for this call; omit it to use the server default.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0-spies.2

TDQS

A4.1/5.0
Behavior5/5

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

Even with annotations covering read-only, idempotent, non-destructive behavior, the description adds substantial context: the getrendered dependency is type-guarded and pcall-wrapped, failures return { error }, the result shape is { count, truncated, samples }, and the full count is reported while samples are capped. It also notes prerequisites like active-client and failure guidance.

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 purpose is front-loaded and the content is generally structured, but the description is dense and somewhat repetitive — for example, return details and read-only/safety metadata are restated. Most sentences still earn their place for a complex runtime inspection tool.

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 adequately explains return values and failure behavior, and the annotations cover safety. Prerequisites, cost, phase, and fallback guidance are all present, making it complete enough for an agent to call correctly.

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?

The schema description coverage is 100%, so the three optional parameters are already fully documented in the schema. The description includes a signature summary but does not add meaningful semantics beyond what the schema already provides.

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 specific verb and resource: it enumerates instances currently being rendered by the engine and returns a structured sample. It also clarifies the scope ('set of objects actually on screen this frame'), but it does not explicitly differentiate itself from nearby siblings such as get-render-stats or list-gui-elements.

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?

It gives concrete use cases — ESP/render auditing, spotting visible parts/GUIs, and correlating render spikes with specific instances — which makes the intended context clear. It does not, however, name alternative tools or state when not to use this one.

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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