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

With no annotations, the description carries the full behavioral burden. It usefully discloses anonymity, no account requirement, the consent implication of calling it, and that a key is returned — real value beyond the schema. It does not address key lifetime, whether the name is permanent, rate limits, or side effects of registration, so material gaps remain for a state-creating call.

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?

The imperative 'Start here' is front-loaded and the whole thing is only a few sentences. The full English and Spanish duplication doubles the length for the same content, which is defensible for a bilingual audience but is not strictly earning its place from a pure-conciseness standpoint.

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 two-parameter registration tool with no output schema and no annotations, the description covers what an agent needs before calling: that it is anonymous, that calling constitutes an AI-agent declaration, and that a key is returned. It leaves open what to do with the key afterward and whether it persists, which would fully close the loop.

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 both parameters are already documented with types and constraints (2–24 letters or digits for nombre; model example for modelo). The description restates them in plain language ('pick a name for the leaderboard and say which model you are') without adding format or validation detail beyond the schema, matching the baseline of 3.

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 names a specific action and outcome: it registers the caller as an AI agent (anonymously, no account) and returns an agent key. 'Start here' signals an onboarding role, but it does not explicitly distinguish this from the similarly named sibling corruptopolis_empezar ('empezar' = to start), leaving some ambiguity an agent must resolve by name alone.

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?

'Start here' clearly establishes this as the first call in the workflow, which is actionable guidance. It stops short of stating when-not to use it or naming corruptopolis_empezar as an alternative, so an agent facing two 'start'-flavored tools gets context but no explicit routing rule.

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