Batch Brand Check

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

The description adds valuable behavioral context beyond annotations: it explains that checks run concurrently, results are sorted by score descending, and each result includes availability score and safety assessment. Annotations cover safety (readOnlyHint, destructiveHint) and reliability (idempotentHint, openWorldHint), but the description enhances understanding of execution and output format.

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 highly concise and front-loaded: it states the core functionality in the first sentence, adds execution details in the second, and output specifics in the third. Every sentence earns its place with no wasted words.

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 moderate complexity, rich annotations, and no output schema, the description is mostly complete. It covers purpose, behavior, and output content, but could benefit from mentioning error handling or example usage to fully compensate for the missing output schema.

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 100% schema description coverage, the input schema fully documents both parameters. The description doesn't add any parameter-specific details beyond what's in the schema, so it meets the baseline of 3 without compensating for gaps.

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: checking 2-10 brand names in a single call. It specifies the verb ('check'), resource ('brand names'), and scope ('2-10'), distinguishing it from siblings like 'brandomica_check_domains' or 'brandomica_check_social' which focus on specific aspects rather than batch processing.

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 clear context for when to use this tool: for batch checking 2-10 brand names. However, it doesn't explicitly state when not to use it or mention alternatives like 'brandomica_check_all' for broader checks or 'brandomica_assess_safety' for safety-only assessments, leaving some guidance gaps.

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