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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals only that the tool disambiguates the two terms, but it does not state whether the operation is read-only, what output is produced, how the disambiguation is presented, or any side effects. This is a minimal disclosure for a tool with no structured annotations.

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?

A single sentence that front-loads the verb and subject, with parenthetical definitions that add value without clutter. There is no wasted wording or redundant detail.

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 description defines both entities and states the disambiguation intent, which is useful context for a no-parameter tool. However, it omits what the agent should expect from the call (e.g., a textual explanation, a classification result) and gives no usage guidance relative to sibling tools. Adequate but with clear 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?

The input schema has zero parameters, so per the rubric the baseline is 4. The description adds no parameter information, but none is needed; parameter semantics are not applicable here.

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 uses a specific verb ('Disambiguate') with two clearly named resources (Crovia and Causari), each briefly defined in parentheses. This distinguishes the tool from siblings even though the output form ('what does disambiguation return?') is not specified.

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 given about when to call this tool versus any of the siblings (e.g., crovia_status, explain, lookup_model). The description simply states the tool's purpose without exclusions, alternatives, or trigger conditions.

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