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

Annotations already declare idempotentHint=true and destructiveHint=false, so the agent knows repeated calls are safe and nothing is destroyed. The description adds the state transition (set-aside -> open) but omits return shape, permission needs, or error conditions; with annotations carrying the safety profile, a 3 is fitting.

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?

One compact sentence with the object front-loaded; there is no filler beyond the somewhat redundant 'now', which technically adds nothing.

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 single-parameter state-toggle with no output schema and non-trivial annotations, the description is adequate but does not say how to locate set-aside cards or what a successful call returns, leaving minor gaps.

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% and the single card_id is documented in-schema as coming from list_open_cards, so the description adds nothing beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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 a clear verb+resource ('bring a card back') and pins the source state ('that was set aside'), which implicitly distinguishes it from the inverse sibling set_a_card_aside. It stops short of naming that sibling or the resulting state explicitly, so an agent must infer the pairing.

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 precondition ('that was set aside') hints at when the tool applies, and the destination ('among the open cards') clarifies the intended end state. However, there is no explicit when-to-use/when-not guidance and no named alternative, so usage is only implied.

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