Skip to main content
Glama

aws_lambda_list_functions

Retrieve a list of AWS Lambda functions in your account and region to monitor, audit, or manage serverless resources.

Instructions

List Lambda functions in the account/region.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profileNoAWS profile name from ~/.aws/config (e.g., 'default', 'production')
regionNoAWS region override (e.g., 'us-east-1', 'sa-east-1')
max_itemsNoMaximum number of functions to return
Behavior2/5

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

No annotations provided, and description fails to disclose behavioral traits: does not confirm read-only safety, does not describe pagination behavior (truncation/next tokens), does not describe output format, and does not mention AWS API rate limiting considerations.

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?

Single sentence is front-loaded with the action and contains no redundant words. However, given the lack of annotations and output schema, the extreme brevity contributes to under-specification rather than efficient communication.

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?

With no output schema, no annotations, and only a minimal description, the tool definition lacks necessary context for an AWS resource enumeration operation. Should describe pagination behavior, output structure (e.g., function names/ARNs returned), and multi-region considerations.

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 the schema fully documents all three parameters. The description adds no parameter-specific guidance beyond what the schema already provides, warranting the baseline score of 3.

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?

States clear verb (List) and resource (Lambda functions) with scope (account/region). However, it does not explicitly differentiate from sibling tools aws_lambda_get_function or aws_lambda_invoke, leaving the agent to infer the distinction.

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?

Provides no guidance on when to use this tool versus alternatives like aws_lambda_get_function or aws_lambda_invoke. No mention of pagination behavior (despite max_items parameter) or when region/profile overrides are necessary.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/marcelobrake/aws-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server