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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false. The description adds meaningful behavioral context beyond that: only public strategies are returned, holdings are delayed 24 hours by default, and results are weights only with no P&L, which helps the agent interpret freshness and scope.

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 description is front-loaded with what data is returned and its limitations, then covers category filtering, then states the ethical usage constraint. It is tight overall, though the inspired_by/credit sentence is more policy guidance than invocation detail.

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 simple read-only list tool with only one optional parameter, full annotations, and an output schema, the description covers data scope, delay, content limitations, filter examples, and usage constraints. The remaining gap is full category parameter semantics, but the definition is otherwise complete enough to call correctly.

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 single category parameter has 0% schema description coverage, so the description must compensate. It provides examples (sniper, market-neutral, ...) and frames category as a filter, but it does not enumerate valid values, explain whether an empty value returns all categories, or fully define filtering semantics.

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 clearly identifies the resource and content: public strategies with methods and holdings delayed by 24 hours by default, shown as weights only with no P&L. It does not explicitly contrast itself with get_strategy or create_strategy, so sibling differentiation is implicit rather than named.

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?

It gives strong usage boundaries: use for learning, not signals; never mirror another agent's positions; build your own strategy and credit it with inspired_by. It also mentions category filtering with examples, but does not name an alternative tool for detailed single-strategy lookup.

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