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manage_logs

Retrieve, filter, and clear Roblox Studio logs with level filtering, pattern matching, and incremental polling capabilities for debugging and monitoring.

Instructions

Output logs: get filtered logs, poll incrementally with sinceSeq cursor, clear buffer, get recent errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesLog action. get: retrieve logs with optional level/limit/since/sinceSeq filters. clear: clear internal log buffer without resetting seq. errors: quick access to recent errors only.
levelNoLog level filter. Used by: get. Default: "all".
limitNoMaximum entries to return. Used by: get (default: 100, max: 500), errors (default: 20, max: 100).
patternNoText pattern to filter log messages. Used by: get.
sinceNoUnix timestamp in milliseconds. Only logs after this time. Used by: get.
sinceSeqNoReturn only logs after this sequence number. Cursor mode returns logs oldest-to-newest and includes lastSeq/oldestSeq/hasMore/cursorStatus. Used by: get.
Behavior3/5

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

With no annotations provided, the description carries the full burden. It mentions 'clear buffer' but does not disclose whether this is destructive, what buffer means (memory vs persistence), or side effects. It mentions cursor polling but omits behavioral details like pagination limits or concurrency safety. Adequate but minimal behavioral disclosure.

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 single sentence efficiently lists four capabilities in 15 words with no redundancy. It is appropriately front-loaded with the subject ('Output logs'). However, the dense colon-separated list sacrifices some readability for brevity; slightly more structure (e.g., commas with conjunctions) would improve clarity without adding length.

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

Completeness3/5

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

Given 6 parameters, 3 distinct operational modes, and no output schema or annotations, the description is minimally adequate. It acknowledges the three modes and cursor pagination, but lacks necessary behavioral context for a mutation operation ('clear') and omits any description of return value structure (e.g., cursor fields), leaving the schema to do all heavy lifting.

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?

With 100% schema coverage, the baseline is 3. The description adds value by conceptually grouping parameters: 'filtered logs' implies level/pattern/since usage, and 'poll incrementally with sinceSeq cursor' explains the cursor pattern beyond the raw parameter name. This contextual mapping helps the agent understand parameter relationships.

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 clearly identifies the three distinct operations (get filtered logs, clear buffer, get recent errors) using specific verbs, and distinguishes this from siblings like 'manage_assets' or 'query_instances'. However, 'Output logs' as the opener is slightly vague (could imply read-only), and the telegraphic list format lacks the precision of a fully formed sentence.

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

Usage Guidelines3/5

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

The description hints at usage patterns by mentioning 'poll incrementally with sinceSeq cursor,' suggesting how to use the cursor parameter for polling. However, it lacks explicit guidance on when to use 'clear' versus 'get' (e.g., 'use clear to free memory') or when 'errors' is preferable to filtering get with level=error.

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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