split_large_claim_groups_v1_2

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

With no annotations, the description must disclose behavioral traits. It mentions the algorithm (TF-IDF + KMeans) but fails to explain whether the tool modifies existing data, if it is destructive, or any side effects. The agent has no information on what happens to the original claim groups.

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 concise sentence, which is efficient. However, it lacks important details needed for correct usage, so the conciseness is not entirely beneficial. It earns a middle score for brevity but insufficient content.

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 complexity of the tool (clustering-based splitting), the description should cover return values, side effects, and parameter details. It provides none of these, even though an output schema exists but is not described. The description is incomplete for an agent to use the tool 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 with no descriptions (schema coverage 0%). The description does not explain split_threshold or target_size, leaving the agent to guess their meanings and valid ranges. This is a critical gap.

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 splits extra-large claim groups using TF-IDF and KMeans. It distinguishes from similar sibling tools like build_claim_groups by specifying the splitting action. However, it does not define 'extra-large' or provide context on when splitting is necessary.

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?

No guidance is provided on when to use this tool versus alternatives, such as build_claim_groups or other claim processing tools. There is no mention of prerequisites or scenarios where splitting is appropriate.

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