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

With no annotations present, the description carries the full burden of behavioral disclosure, but it reveals nothing about effects, return values, or semantics. It does not even clarify whether this is a read-only check, a mutation, or something else.

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 text is extremely short but not concisely informative — it is under-specified. It repeats the same phrase in a label-like format and provides no structured or useful 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?

With no output schema, no annotations, and no meaningful description, the tool's purpose, inputs, and outputs are entirely unknown. An agent cannot decide when or why to call this tool.

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?

There are zero parameters, so the schema leaves nothing to explain. The 0-parameter baseline of 4 applies; the description adds no parameter information, but none is required.

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 'Is Untouchable: Is Untouchable' is a pure tautology that restates the tool name without a verb, resource, or outcome. An agent cannot determine what 'untouchable' refers to or what the tool actually does.

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 provided on when to invoke this tool, what problem it solves, or how it differs from the many sibling 'is-*' predicate tools. The agent has no criteria for selecting it.

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