aws_lambda

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers minimal information. 'Manage' implies CRUD operations, but it doesn't specify authentication requirements, rate limits, error handling, or what 'manage' entails beyond the action parameter. It lacks details on destructive operations (delete) or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise—just three words—which is efficient and front-loaded. However, it's arguably under-specified given the tool's complexity (16 parameters, multiple actions). While not verbose, it may sacrifice clarity for brevity.

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

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

Given high complexity (16 parameters, 5 actions, nested objects), no annotations, and no output schema, the description is incomplete. It doesn't cover parameter meanings, action specifics, return values, or error conditions. For a multi-action AWS tool, this leaves significant gaps for an AI agent to operate effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning none of the 16 parameters are documented in the schema. The description adds no parameter semantics—it doesn't explain what 'action', 'region', or other parameters mean, how they interact, or provide examples. This leaves parameters like 'zipFile' vs 's3Bucket' vs 'functionCode' ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Manage AWS Lambda functions' states the general purpose (managing Lambda functions) but is vague about what specific actions are available. It doesn't mention the five specific actions (list, create, update, delete, invoke) that the tool supports, nor does it distinguish this tool from sibling AWS tools like aws_ec2 or aws_s3 beyond the Lambda focus.

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

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 doesn't mention prerequisites (e.g., AWS credentials), when to choose specific actions, or how this differs from other AWS tools in the sibling list. Users must infer usage from the action parameter alone.

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