Dietary Check Adapter Import

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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds the behavioral context of returning a 'stable normalized projection', which hints at deterministic output formatting. It does not contradict annotations and provides modest additional transparency.

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, front-loaded sentence that directly states the action and outcome. Every word is purposeful with no redundancy or irrelevant detail.

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?

Despite having an output schema and rich annotations, the tool's input schema is highly complex (many nested objects and enums). The description does not clarify how to assemble the request object, what 'adapter-style' means, or any validation specifics, making it under-specified for an agent to use 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?

With 0% schema description coverage, the description must compensate, but it only hints at the CSV input. The single 'request' parameter and its many nested fields are not explained, leaving the agent to rely solely on the schema's field names and types.

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 states a specific verb ('Validate') and resource ('adapter-style CSV input'), and clarifies the output ('stable normalized projection for review'). It distinguishes from sibling tools like dietary_check_contaminant_monitoring_import by using 'adapter-style', though it does not explicitly name alternatives.

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 given about when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or comparison with sibling tools such as dietary_compare_adapter_import_to_walkthrough. The purpose implies validation, but the description does not state appropriate contexts.

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