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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description contributes one behaviorally relevant fact — that the data pertains to the protocol on Base L2 — which helps the agent interpret results, but says nothing about response shape, caching, or freshness. With annotations carrying safety, this modest added context merits a 3.

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?

A single short sentence with the resource front-loaded after the verb; nothing extraneous. It is under-specified rather than padded, so it is efficient if not maximally informative.

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?

There is no output schema and no parameter list to lean on, so the description is the only place an agent could learn what this returns — yet it never says. For a zero-argument read tool with no return documentation, the description leaves the most important question (what will I get back?) unanswered.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and no schema gap to compensate for. Baseline for a parameterless tool is 4.

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 verb (get) and a resource (Loyal Spark protocol on Base L2), so the agent knows the general subject. But 'info' is unspecified — it does not say whether this is configuration, contract addresses, chain metadata, or version data. No sibling is named or implicitly excluded, though the scope is distinct enough from siblings like get_my_profile.

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?

No guidance on when to call this versus other read tools such as get_my_profile, get_program_analytics, or get_token_balance. The agent must infer usage from the name alone; there are no prerequisites, no exclusion conditions, and no alternative tools mentioned.

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