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

No annotations, so the description carries the full burden. It does disclose the manager_kind prerequisite, which is useful, but never says what the cycle actually does (place orders? incur cost?), whether it is safe to repeat, or how often it can be run against a live fund. For a trigger that likely has real trading side effects, this is a significant gap.

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 front-loaded sentence with the action first and the prerequisite in parentheses. Efficient, with no filler; only the parenthetical adds anything beyond the title.

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?

An output schema exists, so return values needn't be explained. The precondition is covered, but for a live-execution trigger on a poorly documented single parameter, the definition says nothing about side effects, reversibility, or run frequency, leaving the agent short of what it needs to call this confidently.

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?

One required param (fund_id) at 0% schema description coverage. The description partially compensates by tying the fund to manager_kind="ai" and owning an ai_prompt, which constrains what fund_id is valid, but it never says fund_id must reference one of the caller's own funds.

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?

Names a specific verb and resource: 'Run one decision cycle of the platform AI manager'. That is concrete enough to distinguish it from sibling read tools like get_manager_profile or run_fund_historical_test, though no sibling is named explicitly.

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?

States a clear precondition: the fund must be set to manager_kind="ai" with an ai_prompt, and the 'now' framing signals immediate execution. It stops short of saying when NOT to call it (e.g., for manual/human-managed funds) or pointing at alternatives such as sandbox_backtest.

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