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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that the generated code verifies the proof server-side, which is useful context about the artifact returned, but it does not disclose anything further about the tool call itself.

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?

Two tight sentences with the purpose front-loaded and the conceptual parenthetical placed where it aids comprehension. No padding, though the definition is short enough that it could afford one more sentence of routing guidance.

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 read-only code-generation tool with no output schema and a fully documented single parameter, the description covers what is produced ('ready-to-paste code') and what it proves. Only the absence of a pointer to the sibling verify_proof/explain tools keeps it from being fully complete.

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% with a single enum parameter that already documents its default; the description only echoes this with 'Pick a framework.' Baseline 3 applies since the schema does all the work and the description adds no syntax or selection guidance beyond it.

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 the resource clearly — 'ready-to-paste code to embed Proof of Type Input' — and the parenthetical defines the product concept so an agent understands what is being generated. It is not explicitly differentiated from the siblings (explain, verify_proof), but the resource itself is distinct enough to avoid confusion.

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?

'Pick a framework' gives minimal parameter-level guidance, but there is no statement of when to reach for this tool versus explain or verify_proof, nor any prerequisites or stated limits. Usage is only implied by the embedding/code-generation framing.

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