visualize_cluster_scatter

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

No annotations are provided, and the description only implies a read-only visualization. It does not disclose side effects (e.g., file creation), required permissions, or constraints like data size. The transformation using UMAP is mentioned but not elaborated.

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?

Two sentences that are front-loaded with the main action and outcome. No unnecessary 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?

The tool has 6 parameters and no output schema. The description explains the purpose but omits what the tool returns (likely saves file to output_path). It also does not clarify differences from sibling visualization tools, leaving the agent to infer usage context.

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?

Input schema description coverage is 100%, so each parameter is already explained. The description adds context by mentioning UMAP, which helps understand n_neighbors and min_dist parameters, but does not significantly enhance the schema definitions.

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?

Clearly states the tool generates a 2D scatter plot of document clusters using UMAP projection. However, it does not differentiate from the sibling tool visualize_cluster_distribution, which may also visualize clusters but in a different manner.

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 on when to use this tool versus alternatives like visualize_cluster_distribution or the clustering tools. The description does not mention prerequisites or typical use cases.

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