jev_check

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 says the tool 'evaluates' a proposition, but it does not state whether this is a read-only operation, whether there are side effects, whether authentication is needed, or what the output represents. The behavioral surface is mostly opaque.

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, compact sentence with no filler or redundant phrasing. It is front-loaded with the core action and target. The main detraction is that it is concise to the point of omitting useful clarifying details, but it is appropriately sized for a simple check operation.

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 tool with three parameters, no annotations, and zero schema parameter coverage, the description is incomplete. It lacks proposition syntax, usage context, state format expectations, and any distinction from sibling evaluation tools. The presence of an output schema helps with return values, but it does not fill the input-semantics or usage-routing 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?

Schema description coverage is 0%, so the description must compensate. It does add some meaning by specifying that 'state' can be a string, object, or list, which the schema leaves ambiguous. However, it does not clarify the syntax or meaning of 'proposition', the optional 'logging_exclusions' parameter, or the expected shape of the state values.

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 action ('Evaluate') and target ('a Noul proposition'), and it names the acceptable state types ('string, object, or list state'). This is clear enough at a high level, but it does not distinguish jev_check from the similar sibling 'jev_evaluate' or explain what 'Noul' means.

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 use jev_check versus jev_classify, jev_score, or jev_evaluate. The description implies a use case—checking a proposition against state—but provides no explicit context, exclusions, or alternative tool routing.

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