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get_function_logs

Retrieve recent CloudWatch logs from a deployed function. View console output and error stack traces to debug serverless functions.

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/function request id, such as req_abc123.
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It mentions CloudWatch but omits important behaviors like output format, truncation limits, potential latency, or error handling. The description is too brief to adequately set expectations for a tool with no safety 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?

The description is extremely concise with two sentences that front-load the purpose and add a brief detail. Every word is informative and there is no unnecessary content.

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?

Despite having 5 parameters and lacking an output schema and annotations, the description only provides a high-level summary. It does not explain what the output looks like, how filtering works, or any constraints. This is insufficient for a tool with moderate complexity.

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 well-described parameters. The description adds no additional meaning beyond the schema, which is acceptable but does not improve understanding of how to use the parameters effectively. Baseline of 3 is appropriate given the high schema coverage.

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 the action (Get recent logs) and the resource (deployed function). It also specifies the content (console.log/error, stack traces) and source (CloudWatch), making it easy to understand what the tool does and how it differs from sibling tools like list_functions or jobs_logs.

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?

The description provides no guidance on when to use this tool vs alternatives. It does not mention prerequisites, exclusions, or scenarios where this tool is not appropriate. Users must infer usage context from the name alone.

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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