glue_s3

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

With no annotations, the description carries full burden. It discloses each mode's behavior: analyze is read-only exploratory, optimize generates a strategy, consolidate generates a Glue job. However, it does not explicitly state that the tool does not execute actions or require specific AWS permissions.

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 well-structured with a concise overall statement followed by a clear breakdown of three modes, each with a sentence and parameter list. It could be slightly more concise but is easy to scan and understand.

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 15 parameters and 3 modes with no annotations, the description provides a good overview of tool behavior and mode-specific parameter sets. It does not describe return values, but an output schema is present. The description could be more complete by clarifying optional parameters and output types, but it is largely adequate.

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%, so the description must add parameter meaning. It lists parameters per mode and marks required ones, but does not explain parameter details beyond their names (e.g., no allowed values for data_format or compression_type). This adds some value but is insufficient for full clarity.

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 clearly states the tool's purpose: 'Analyze and optimize S3 data layouts for AWS Glue.' It lists three distinct modes (analyze, optimize, consolidate) with specific verb+resource combinations, distinguishing it from sibling tools like glue_job or glue_schema.

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?

The description provides clear context for when to use each mode (analyze for analysis, optimize for strategy, consolidate for job generation) but does not explicitly state when not to use this tool or mention alternatives among siblings.

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