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

With no annotations provided, the description carries the burden of behavioral transparency. It discloses determinism and the name-scoped transformation, but does not clarify whether the operation is purely computational with no side effects, what specific normalization rules apply, or how edge cases are handled.

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 that front-loads the core operation and key property (deterministic canonical form). There is no redundant or filler 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?

For a one-parameter tool, the basic invocation is clear, but the canonical form is not defined and there is no output schema. An agent cannot predict the exact return value or edge-case behavior, which is a noticeable gap given the lack of annotations.

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 coverage is 0%, but the description defines the sole parameter as an organization/entity name, adding meaning beyond the schema's bare string type. It stops short of a 5 because it gives no examples or details about what forms are acceptable or what 'canonical' means concretely.

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 operation—normalizing an organization/entity name—and a clear outcome: a deterministic canonical form. It is clearly distinguishable from sibling tools by its unique subject and action, even without explicit comparison.

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 clear context: use this tool when an organization/entity name needs to be converted to a canonical, deterministic form. It does not provide explicit exclusions or alternatives, but none of the sibling tools overlap with this purpose, so the guidance is sufficient.

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