Google Health Wellness Context

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint as false. The description adds the normalization step but no further behavioral traits (e.g., what happens with missing data, performance). It does not contradict annotations.

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 a single concise 16-word sentence with clear verb and resource. It is front-loaded and contains no unnecessary information. However, it could be slightly more structured to separate purpose from usage.

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?

With 6 parameters (no required), an output schema (explaining return values), and rich annotations, the description is adequate but minimal. It does not explain the 'normalize' operation or how this tool fits into the broader workflow with siblings. Additional context would improve completeness.

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 only 33% (2 of 6 parameters have descriptions). The tool description does not mention any parameter meanings or usage, leaving 4 parameters undocumented in both schema and description. Defaults exist but without semantic context.

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 action (Normalize), the resource (Google Health activity/sleep context), and the target (shared wellness_context shape for recommendation engines). It differentiates from siblings by focusing on normalization and a specific output format.

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 implies use for recommendation engines but provides no explicit guidance on when to choose this tool over alternatives among the many siblings, nor any conditions or exclusions.

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