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

With no annotations, the description carries the full disclosure burden. It reveals that the code is saved to the library, is permanent, yields no analytics, requires an OpenQR API key, and returns a payload meant for generate_qr. This is a clear, honest picture of side effects and constraints, with no contradictions.

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 compact sentences, each with a distinct job: purpose, static-code implications, and next-step/API-key requirement. The information is front-loaded and every clause contributes, with no filler.

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?

Covers the essential operational details an agent needs: supported types, static-vs-dynamic tradeoff, library persistence, API key requirement, and the rendering step via generate_qr. The only notable absence is a description of the exact payload structure, but the tool's dependence on generate_qr and the full schema descriptions mitigate that gap.

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 100%, so the schema already documents type, label, theme, and the type-dependent fields object. The description only compresses the type list ('wifi, contact, vCard, email, SMS...') and adds no semantic detail beyond what the schema supplies, so it meets the baseline but does not exceed 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?

States 'Save a static QR code to your library from structured fields' with a specific verb, resource, and list of supported payload types (wifi, vCard, email, SMS, etc.). The phrase 'Static codes bake the content into the code itself — no short link, no scan analytics, not editable later' clearly separates it from dynamic QR siblings, so the tool's identity and boundary are unambiguous.

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?

Explains that static codes embed content, lack scan analytics, and cannot be edited later, which tells an agent to prefer this tool when a permanent, self-contained QR is needed and to prefer dynamic tools when mutable URLs or analytics are required. It also directs the agent to 'Render the returned payload with generate_qr' and notes the API key prerequisite. It doesn't explicitly name an alternative tool, but the behavioral contrast with dynamic QR tools is strong.

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