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

Annotations already indicate destructiveHint=true and openWorldHint=true, and the description does not contradict them. It adds meaningful behavioral context by warning that agreementBefore/agreementAfter should be read rather than the loss, and that zero improvement is a structural finding, not a failed fit. This goes beyond what annotations alone provide.

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 core action is front-loaded, but the description becomes dense and jargon-heavy with phrases like 'petri-pilot experiments/ode-minimax' and a long conceptual aside. The guidance is valuable, but it could be tightened without losing meaning.

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?

Given three parameters, no output schema, and annotations already covering safety and openness, the description covers the key points: what it does, how it differs from sim_calibrate, and how to interpret results. It mentions agreementBefore/agreementAfter as the relevant outputs. A concrete example of the groups JSON would improve completeness, but the schema already provides one.

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 description coverage is 100%, so the schema already documents all three parameters. The description adds context around groups as transition groups sharing multipliers and positions being self-play-sampled and search-labeled, but it does not significantly elaborate on id or options beyond the schema. This meets the baseline but does not exceed it.

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 states a specific verb and resource: it distills exact search into the play scorer by fitting rate multipliers for named transition groups. It also clearly separates this from sim_calibrate by calling it the tactical counterpart. The purpose is unambiguous and actionable.

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 explicitly names the sibling alternative, sim_calibrate, and distinguishes it by data source: event log versus positions sampled by random self-play and labeled by search. The division of labor is described as deliberate, which tells an agent when to select this tool over the sibling. The caveat about zero agreement improvement also guides interpretation.

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