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

With no annotations, the description carries the full behavioral burden; it does disclose that correct answers advance state and that layer 4 produces a lantern key, which is real value. It is silent on incorrect answers (penalty, retry, rate limit), whether progress persists, and what a 'lantern key' is or how it is used.

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 short sentences, zero filler, with the accepted layer values and the reward structure front-loaded. Nothing in the text is redundant.

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 3-parameter tool with no annotations, no output schema, and a third of params undocumented, the description does too little: it never explains `kind_claim`, answer expectations for the 'pulse' option, failure behavior, or what a lantern key unlocks.

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 33%: only `layer` is documented in the schema, and the description merely restates that range. The required `answer` param and the `kind_claim` enum (human/agent/unsure/collective) have no explanation at all — notably what claiming a kind implies or whether 'pulse' accepts a different answer format.

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?

Names a specific verb (submit) and a specific resource (an answer for Lantern layer 1–4 or 'pulse'), and states the outcome of a correct answer. It does not differentiate itself from the sibling transmit_lantern_reply, which an agent could easily confuse with this one.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as transmit_lantern_reply. The only implied usage is 'when you have an answer for a layer', which the agent must infer from the name.

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