set_printer_temperature

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

With no annotations, the description carries the full burden and does substantial work: it discloses pre-connection validation, independent hardware and material ceilings, the ready-printer requirement, and a human-confirmation gate. It stops short of covering auth/permissions behavior, which would be the remaining gap for a mutation tool.

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?

Three tight sentences with no filler, and the most important branch (0 = off, ungated) is front-loaded ahead of the positive-target constraints. Efficient and well-ordered.

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 an 11-parameter mutation tool with no annotations and no output schema, the description conveys the key behavioral contract (validation, ceilings, confirmation) that an agent needs. It is nearly complete, missing only auth/permission expectations and explicit sibling routing.

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 100%, so the schema already documents all 11 parameters, including that 0 turns the heater off. The description adds gating semantics around temperature values but largely restates what the schema field descriptions already provide, so baseline 3 applies.

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 ("Set the temperature of a printer component") and even names the component concept. It is clear what the tool does, but it never names the obvious sibling (confirm_temperatures) or otherwise differentiates itself from related temperature tools.

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?

It gives real usage conditions – temperature 0 is never gated, positive targets require a ready printer and a human confirmation – which tells the agent when a call will succeed. However, it never names alternatives such as confirm_temperatures or get_printer_status, so routing is left to inference.

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