input_char

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

No annotations are provided, so the description carries full burden. It mentions 'key simulation' which hints at behavioral implementation, but doesn't disclose important details like permissions needed, whether it requires screen focus, potential side effects, or rate limits. The description adds some context but leaves significant behavioral gaps.

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 extremely concise with only three sentences that each serve a distinct purpose: stating the tool's function, providing usage guidelines, and documenting parameters/returns. No wasted words and front-loaded with the core functionality.

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 the tool has an output schema (returns str), the description appropriately doesn't explain return values. For a single-parameter tool with no annotations, the description covers purpose, usage context, and parameter meaning adequately, though could benefit from more behavioral context about the key simulation mechanism.

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 compensates well by explaining the single parameter 'text' as 'ASCII text to input' and specifying ASCII constraints. This adds meaningful semantics beyond the bare schema, though it doesn't elaborate on length limits or character validation.

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 specific action ('Input ASCII characters using key simulation') and resource ('ASCII text'), and distinguishes it from sibling 'input_text' by mentioning it's for when that tool doesn't work. This provides a precise verb+resource combination with sibling differentiation.

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 use this tool ('Use this when input_text doesn't work in certain situations'), providing clear guidance on alternatives and context. It directly names the sibling tool and specifies the failure scenario.

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