printer_setup

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

No annotations are provided, so the description carries full burden. It thoroughly explains behavior: reports current config, printers from OrcaSlicer presets, network-answering devices, and probing a specific IP via host parameter. It also discloses a critical risk: 'the wrong protocol can mean wrong temperatures on real hardware.'

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 concise with three focused sentences. It is front-loaded with the main purpose, and each sentence adds value without redundancy.

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?

Given no output schema, the description explains what it reports: current config, presets, network devices. It covers when to use, what it does, and follow-up actions. It is complete for a discovery 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?

Schema description coverage is 0%, but the description adds meaning: 'pass host= to probe a specific IP' explains the parameter's purpose. For a single optional parameter, this is sufficient to guide an agent.

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 clearly states the tool's purpose: 'Find out which printer we can talk to, and what's still needed.' It uses a specific verb 'find out' and resource 'printer configuration', distinguishing it from siblings like configure_printer (used after setup).

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 description explicitly states when to call the tool: 'Call this first when printer tools report no configuration, or when the user changes hardware.' It provides clear next steps: 'If nothing usable is found, ASK THE USER... then call configure_printer().' It also warns against guessing the printer type.

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