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get_function_logs

Retrieve recent logs from a deployed function to view console output and error stack traces from CloudWatch.

Instructions

Get recent logs from a deployed function. Shows console.log/error output and error stack traces from CloudWatch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFunction name to get logs for
tailNoNumber of log lines to return (default: 50, max: 1000)
sinceNoOnly return logs at or after this ISO 8601 timestamp (e.g. 2026-03-29T14:00:00Z). Invalid timestamps are rejected before the API call.
project_idYesThe project ID
request_idNoOnly return logs correlated to this routed request id, function run id, or attempt id, such as req_abc123, fnrun_abc123, or fnatt_abc123.
Behavior3/5

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

No annotations provided, so description carries full burden. Discloses source (CloudWatch) and log types, but does not mention limitations like latency, max tail, pagination, or read-only nature beyond the verb 'get'. Lacks depth for a tool with no annotations.

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?

Two short, clear sentences with no unnecessary words. Front-loaded verb and resource. Efficient.

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?

Given no output schema, description covers return content. Lacks details on return format (e.g., fields like timestamp, message), but sufficient for a simple read operation with well-documented parameters.

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 coverage is 100% with adequate field descriptions. The tool description adds no parameter information, but the schema already serves its purpose. Baseline 3 is appropriate.

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?

Description clearly states verb (get) and resource (recent logs from deployed function) and specifies content (console.log/error output, stack traces). However, it does not differentiate from sibling get_function_run_logs, which may cause confusion.

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 on when to use this tool versus alternatives like get_function_run_logs. No mention of prerequisites, context, or when not to use it.

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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