cloudtrail_analyze

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

With no annotations provided, the description carries the full burden and does so well by disclosing key behavioral traits: it specifies the tool is 'read-only file analysis' (indicating non-destructive operation), mentions a prerequisite ('Requires jq'), and details the exact return structure, which is crucial for understanding output behavior.

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 appropriately sized and front-loaded, with each sentence earning its place: the first states the purpose, the second lists extracted data, the third specifies the return format, and the fourth covers side effects and prerequisites, with zero wasted words.

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 the tool's complexity (data analysis with one parameter) and lack of annotations and output schema, the description is complete enough: it explains the purpose, usage, return values in detail, side effects, and prerequisites, providing all necessary context for an agent to use it correctly.

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?

The input schema has 100% description coverage, clearly documenting the single parameter 'log_dir'. The description does not add any additional meaning beyond what the schema provides, such as format examples or constraints, so it meets the baseline of 3 for adequate but no extra value.

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 with specific verbs ('parse and analyze') and resources ('AWS CloudTrail logs'), and distinguishes it from sibling tools like 'cloudtrail_find_anomalies' by focusing on extraction of specific data fields rather than anomaly detection.

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 this tool (for analyzing CloudTrail logs to extract specific data), but does not explicitly mention when not to use it or name alternatives among sibling tools, such as 'cloudtrail_find_anomalies' for different analysis purposes.

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