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timeweb_get_server_logs

Retrieve cloud server logs by server ID with configurable limit, sort order, and output format for troubleshooting and monitoring.

Instructions

Get logs from a cloud server

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of log lines to return (default: 100, max: 1000)
orderNoSort order (default: desc - newest first)
formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readable
server_idYesServer ID
Behavior1/5

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

No annotations are present, so the description must fully disclose behavioral traits. However, it only states the action without revealing key behaviors such as pagination, default ordering, output format effects, or log source specifics. This is a complete lack of behavioral context.

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 description is a single, concise sentence that effectively front-loads the core purpose. It is not verbose, but it lacks structural elaboration. It earns a slightly above-baseline score for efficiency, though it is under-specified rather than substantively concise.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is insufficient for the tool's operational context. It does not explain return values, how the limit and order parameters affect output, or what form the logs take. The description only covers the basic function, leaving significant gaps for an AI agent.

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 input schema fully describes all four parameters with clear descriptions, including ranges and defaults. Since schema coverage is 100%, the description adds no parameter-specific meaning, and a baseline score of 3 is appropriate for this high coverage.

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 states the tool's function with a specific verb ('Get') and resource ('logs from a cloud server'). While it does not explicitly differentiate from sibling tools like timeweb_get_app_logs or timeweb_get_deploy_logs, the server-specific wording provides sufficient clarity for the core purpose.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention appropriate contexts, exclusions, or alternative tools, leaving the agent to rely solely on the tool name for usage decisions.

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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