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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that it returns ideas ready to hand off to generate/backtest, but says nothing about the volume, format, or grounding of those suggestions beyond the input basis.

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 tight sentences with the purpose front-loaded and the downstream handoff stated second. No filler or redundancy.

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 an output schema present, return-value explanation is unnecessary, and annotations cover the safety profile. Purpose, input basis, and downstream routing are all present; only selection guidance versus sibling tools is missing.

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 only 50%: asset is documented in the schema with examples, but count has no description. The description contributes no parameter meaning at all, so the undocumented count must be inferred purely from its name and range.

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 specific verb (suggests) and resource (concrete ArenaScript experiments), and the input basis (market regime and leaders). It distinguishes itself from generate_arenascript_strategy / backtest_strategy by positioning them as downstream consumers of its output, though it does not frame them as alternatives to choose between.

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 description implies when this fits (you want experiment ideas grounded in market regime and leaders) and where the output goes, but gives no explicit when-to-use/when-not guidance versus siblings like invent_and_backtest or list_strategy_templates. Usage is inferable but not stated.

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