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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds semantic context about aspect disagreement but does not disclose operational behavior such as output format, time range, or data sources. It adds some value beyond annotations but not rich behavioral detail.

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 compact and front-loaded with the core capability. The second sentence earns its place by illustrating why aspect-level sentiment mattersasi useful behavioral nuance, and no words are wasted.

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?

The tool is simple (one parameter) and the annotations cover safety, so the description does not need much. It explains the purpose, the specific aspects, and the key distinguishing scenario. However, the lack of any parameter format guidance and no output format hints leaves minor but notable gaps.

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 schema description coverage at 0% and the only parameter 'asset' left undocumented, the description has the full burden of explaining how to specify the asset. It only implies the resource generally and does not clarify accepted formats (e.g., symbol, address, ID), which is a meaningful gap for a single-parameter tool.

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 specifies a verb ('Split'), a resource ('an asset's sentiment'), and distinct aspect categories (technology, price, team, community). It also differentiates the tool from aggregate sentiment tools by highlighting that only this tool can discern disagreements across aspects.

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 gives strong contextual guidance: use this tool when aspect-level breakdown matters and aggregate sentiment is misleading. It does not explicitly name an alternative like analyze_sentiment or state when not to use it, but the 'only this tool' phrasing makes the selection condition clear.

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