get_chrome_activity_log

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only operation (retrieves) but does not mention any specific behavioral traits like authentication requirements, rate limits, or whether a customer ID is mandatory. It adds some context by listing event types but leaves security/prerequisite details undisclosed.

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 two sentences long, with the first sentence front-loading the core purpose and the second providing usage context. Every word earns its place with no redundancy or fluff.

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 has an output schema (so return values are already documented) and all parameters have descriptions, the description sufficiently covers purpose and usage context. It might benefit from mentioning that a customer ID may be needed (given the sibling get_customer_id tool), but overall it is complete enough for an AI agent to select and use it 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 coverage is 100%, so the schema fully documents all six parameters. The description does not add parameter-specific meaning beyond the schema, though it provides general context about the type of data involved. Baseline of 3 is appropriate given the schema's high coverage.

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 a specific verb ('Retrieves') and resource ('audit logs of Chrome browser activity'), and provides concrete examples of events (login events, policy violations, extension installs). This distinguishes it from sibling tools like DLP rule management or detector creation.

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 explicitly states when to use the tool: 'Use this for security investigations, auditing user actions, and to help tune DLP rules.' It gives clear use cases, though it does not explicitly name alternative tools or exclusion criteria.

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