validate_etf_snapshot

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

With no annotations, the description carries the transparency burden. It discloses a key behavioral trait: validation does not fill missing values. However, it lacks details on error handling, return format (though output schema exists), or whether the operation is strictly read-only. Some value is added, but significant gaps remain.

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 sentence, front-loaded with the action verb. Every word adds value, and there is no extraneous information.

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?

For a tool with a single parameter, an output schema (which covers return values), and clear sibling differentiation, the description is largely complete. It conveys the core function and an important behavioral nuance. It falls short of full completeness only by omitting explicit guidance on when to choose this over siblings, but given the simplicity, this is not a critical gap.

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 schema exposes one parameter, snapshot_json (string), with 0% coverage from the description. The description adds meaning by indicating the parameter represents an ETFAnalysisSnapshot, providing context beyond the bare schema. However, it does not clarify whether the expected input is a JSON string or its exact format, leaving some ambiguity.

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 specific action ('Validate') and resource ('ETFAnalysisSnapshot'), scoped to 'one' snapshot. It also includes a distinctive qualifier ('without filling missing values') that helps differentiate it from sibling tools like compare_etf_snapshots.

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 validating a single snapshot and explicitly notes a behavioral constraint (no missing value imputation). However, it does not explicitly state when to use this tool over alternatives, nor does it mention any exclusions or conditions.

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