UI Data Grid

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'creates' (implying a write/mutation operation) and lists features like sorting and export, but doesn't address critical aspects: whether this requires authentication, what happens to existing data, if it's idempotent, rate limits, or what the output looks like (since no output schema exists). For a creation tool with zero annotation coverage, this is insufficient.

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 that front-loads the core purpose ('Creates interactive data grids') and lists key features. There's no wasted verbiage or redundancy—every word earns its place.

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 creates something (implied mutation), has no annotations, no output schema, and 3 parameters (with nested objects), the description is incomplete. It doesn't cover behavioral traits, output format, error handling, or integration context (e.g., how this fits with SAP entities mentioned in the schema). For a creation tool in this context, more guidance is needed.

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 100%, so the schema fully documents all parameters (entityType, columns, features). The description adds no parameter-specific information beyond what's in the schema—it doesn't explain what 'SAP entity type' means, column usage, or feature implications. Baseline 3 is appropriate when the schema does all the work.

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 tool's purpose: 'Creates interactive data grids with sorting, filtering, and export capabilities.' It specifies the action ('creates'), resource ('interactive data grids'), and key features. However, it doesn't explicitly differentiate from sibling UI tools like 'ui-dashboard-composer' or 'ui-form-generator' beyond the generic 'data grids' term.

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 sibling tools like 'ui-dashboard-composer' or 'ui-report-builder', nor does it specify prerequisites, use cases, or exclusions. The agent must infer usage from the tool name and description alone.

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