validate_time_range

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool validates a time range but doesn't explain what validation means (e.g., checks format, ensures chronological order, verifies against system limits) or the outcome (e.g., returns success/failure, error messages). For a validation tool with zero annotation coverage, this leaves critical behavior unspecified.

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, efficient sentence with no wasted words. It's front-loaded and gets straight to the point, making it easy to parse. However, this conciseness comes at the cost of completeness, as it lacks necessary details for effective tool use.

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 (validation logic implied), lack of annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain what validation entails, the return values, or error conditions. For a tool that likely involves logic beyond simple parameter passing, this minimal description is inadequate 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 2 parameters ('from' and 'to') with 0% description coverage, meaning the schema provides no semantic details. The description doesn't add any parameter information—it doesn't explain what 'from' and 'to' represent (e.g., timestamps, relative time strings), their expected formats, or validation rules. With low schema coverage, the description fails to compensate, leaving parameters poorly documented.

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 the tool's purpose is to 'validate a time range for Grafana usage', which is clear but vague. It specifies the action ('validate') and resource ('time range') but doesn't explain what validation entails or how it differs from sibling tools like 'get_time_range_presets'. The purpose is understandable but lacks specificity and sibling differentiation.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context (e.g., before querying), or related tools (e.g., 'get_time_range_presets' for preset ranges). Without usage instructions, the agent must infer when this validation is needed, which is insufficient for effective tool selection.

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