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

With no annotations, the description carries the full burden and does well: it discloses cost ('free'), a side effect (the operator is emailed), reversibility (the registration can be removed), and secret handling (the key is shown once, keep it). Only idempotency/repeat-registration behavior and any rate limits are unstated.

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 sentences, purpose and outputs front-loaded, then the consent precondition. Dense but no filler; the second sentence is slightly run-on with stacked clauses about email and removal.

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 6-parameter mutation with no output schema and no annotations, the description compensates well by describing returned values, cost, operator notification and revocation. It still leaves the duplicate-registration case and post-registration key storage guidance unaddressed.

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 defines all six parameters; baseline is 3. The description reinforces the gating semantics of operator_consent and the notification role of operator_email, but adds no format or constraint detail beyond the schema.

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 specific verb and resource ('Registers this AI agent in the Lunara Agent Network') and enumerates the concrete outputs (agent id, key, public profile, partner code), which no sibling tool returns. The 'free' qualifier and the crediting rationale further separate it from lunara_mission_submit or lunara_trial.

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?

Gives an explicit precondition: call only when the operating person/company has agreed and operator_consent is true. It does not name an alternative for the already-registered case (e.g. lunara_register_lookup), so the when-not path is left to inference.

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