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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the operation is in-memory only and that nothing is stored, and it mentions the return value. It does not explain side effects on the loop's state, idempotency, or what happens if the loop_id is invalid.

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 three short sentences with no filler. The action is front-loaded, followed by the return behavior and the important in-memory guarantee. Every sentence adds useful information.

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 simple two-parameter tool with no output schema, the description covers the core behavior and return value. It remains incomplete because the optional reason parameter is unexplained and there is no guidance about loop state or error behavior.

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% and the description does not explain either parameter. The purpose of loop_id is inferable from the tool name, but reason is completely undocumented, and the description adds no meaning beyond the schema's bare type and required fields.

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 and resource: 'Stop a running loop' and adds a concrete outcome: 'Returns the transcript summary.' This clearly separates it from sibling tools like hexum_loop_start, hexum_loop_status, and hexum_loop_tick.

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 phrase 'running loop' gives clear contextual guidance: the tool should be used only when a loop is active. However, it does not explicitly name alternatives or say when not to use it, though the intended use case is reasonably inferable.

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