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validate_dashboard_render

Validate that all charts on a dashboard render correctly by checking their frontend render status.

Instructions

Validate frontend render status for all charts on a dashboard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dashboard_idYes
timeout_msNo
settle_msNo
response_modeNostandard

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, so description must carry behavioral disclosure. It does not state whether the tool is read-only or has side effects, how it interacts with the dashboard, or what constitutes a validation failure. The term 'validate frontend render status' is vague.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short (10 words) and under-informative. While concise, it lacks substance and does not earn its place by adding value beyond the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema and multiple parameters, the description is grossly incomplete. It does not explain what the tool returns, the effect of timeout/settle/response_mode, or how to interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% with no parameter descriptions. The description fails to mention any of the four parameters (dashboard_id, timeout_ms, settle_ms, response_mode), leaving the agent without guidance on required inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool validates frontend render status for all charts on a dashboard. It uses a specific verb and resource, and distinguishes from sibling tools like validate_chart_render (single chart) and validate_dashboard (structural validation).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. With many sibling tools, such as validate_chart_render or validate_dashboard, the description should specify scenarios (e.g., after dashboard creation/update) or differentiate criteria.

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

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