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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds one genuinely new behavioral fact — each section carries a source URL, signalling static, citable reference content — but says nothing about coverage limits, freshness, or whether the data is curated vs live.

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 sentence, front-loaded with the 'Use when' trigger and a tight comma-separated topic list. Efficient, though the six-item enumeration runs long and could be grouped.

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?

With no input parameters and no output schema, the description must convey what comes back; it does so by listing the covered sections and noting the per-section source URL. Missing only scope boundaries relative to sibling info tools.

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 no parameter semantics for the description to carry; the baseline for a parameterless tool applies. Nothing in the description conflicts with the empty 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?

The description enumerates the concrete topics this tool covers (SAIKYO domains, support channels, exchange mode, white-crypto partners, AML/KYC policy, exchange directions), so an agent can infer it is a static knowledge/FAQ lookup. It never states a verb like 'retrieve', framing the tool purely as a trigger condition, and it does not distinguish itself from the overlapping sibling list_exchange_directions.

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 phrase 'Use when the user asks about ...' gives explicit, actionable trigger conditions covering six distinct topic areas. It stops short of when-not guidance or naming alternatives (e.g. list_exchange_directions for live direction data), so routing between similar info tools 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.