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list_log_streams

List CloudWatch log streams from a log group, filtered by name prefix or date (YYYY-MM-DD), with configurable limit and sort order.

Instructions

List log streams in a log group with optional filtering by prefix and date (useful for service-based streams like "sprive-backend-2026-02-20")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoFilter streams containing this date (YYYY-MM-DD format)
limitNoMaximum number of streams to return (default: 50)
prefixNoFilter streams by name prefix (e.g., "sprive-backend")
orderByNoSort order for streams (default: LastEventTime)LastEventTime
logGroupNoLog group name. Uses CLOUDWATCH_LOG_GROUP env var if not provided
Behavior3/5

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

No annotations exist, so the description carries the full burden. It mentions filtering behavior and provides an example, but does not disclose pagination, rate limits, or sorting behavior beyond what is in the schema. The description is functional but minimally transparent.

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?

The description is a single concise sentence that front-loads the core action and includes a useful example. No wasted words.

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?

For a listing tool with no output schema, the description covers the main purpose and filtering options. It could mention return values or pagination behavior, but given the schema documents all parameters, it is largely complete.

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 description coverage is 100%, so baseline is 3. The description adds a concrete example of how prefix and date work together, but does not significantly enhance understanding of the parameters beyond 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?

The description clearly states 'list log streams in a log group' with specific filtering options (prefix, date). A concrete example is given, and the tool is well-distinguished from siblings like list_log_groups and query_logs_insights.

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 implies usage through the example ('useful for service-based streams') but does not explicitly state when to use this tool versus siblings like query_logs_insights or search_logs. No when-not-to-use or alternative guidance is provided.

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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