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Read console logs

get_logs
Read-only

Read recent Roblox executor console logs, including while waiting for Roblox, and filter by level, client, time, or text to inspect runtime output and errors.

Instructions

Read recent console output captured from the Roblox executor. The newest entries come last, and the result has a now timestamp you can pass as since next time. Works while waiting_for_roblox because the bridge stores the logs.

Input Schema

NameRequiredDescriptionDefault
levelNoOnly return entries of this level.
limitNoMaximum number of entries (default 100).
sinceNoOnly return entries from this timestamp (in milliseconds) onward.
clientNoOnly return entries from this client id (default: all clients).
containsNoOnly return entries whose text contains this (case-insensitive).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations only say readOnlyHint=true and openWorldHint=false; the description adds genuinely new behavior — entry ordering (newest last), the presence of a now field in the response, and the fact that reading succeeds during an otherwise blocking wait because the bridge persists logs. It does not say how far back the buffer reaches or what happens when limit truncates, which keeps 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, each carrying distinct information, with the core purpose front-loaded before the ordering note and the polling tip. Nothing is redundant with the title or the annotations.

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 five optional parameters, no output schema, and only two hints of annotations, the description covers the response shape (ordering, now field) well enough to call correctly. It omits buffer depth/retention and truncation behavior when limit cuts results, which an agent polling in a loop would benefit from knowing.

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?

Schema coverage is 100%, so baseline is 3, but the description adds real meaning on top: it explains why since exists (incremental polling via the returned now value) and implies the cursor semantics of the timestamp, which the schema only states mechanically. The level, limit, client, and contains filters are left entirely to the schema.

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 — 'Read recent console output captured from the Roblox executor' — which is unambiguous and distinct from siblings like clear_logs, get_errors, and wait_for_log. The scoping word 'recent' plus the executor source tells an agent exactly what corpus this returns.

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?

Gives a concrete usage pattern: take the returned now timestamp and pass it as since on the next call, plus the enabling condition that it works while waiting_for_roblox because logs are buffered. It stops short of naming alternatives (e.g., when to prefer get_errors or wait_for_log instead), so it is clear context without explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.