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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose the critical trait that entities themselves are not deleted, which adds real value beyond the tool name. However, it does not mention other behavioral aspects such as whether the operation is idempotent, whether it affects dataset metadata, or what happens if an entity_id does not exist in the dataset.

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 well-structured sentence with the key non-deletion caveat placed in a parenthetical. Every word earns its place, and the essential distinction is front-loaded without any redundant phrasing.

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, the schema covers all parameters, and an output schema exists, so the description does not need to explain return values. The core behavioral distinction is captured. The only minor gap is the absence of explicit guidance on when to use this versus delete_entity or add_dataset_entities, but for a straightforward removal operation the description is largely sufficient.

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 already documents all three parameters clearly. The description does not add any parameter-specific detail beyond what the schema provides, which meets the baseline but does not exceed it.

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 states a specific verb ('Remove') and resource ('entities from a dataset'), and the parenthetical clarifies that this removes the association rather than deleting the entities themselves. This clearly distinguishes the operation from delete_entity and delete_dataset, leaving no ambiguity about the tool's purpose.

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 parenthetical implies that if you want to permanently delete entities, you should use a different tool (e.g., delete_entity), but it does not explicitly name alternatives or state when this tool should be preferred over siblings like add_dataset_entities. The usage context is implied rather than stated.

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