oscarsgrind_statistics

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

No annotations are provided, and the description does not disclose any behavioral traits such as whether the tool modifies data, requires authentication, or has rate limits. It only states what it returns, leaving the agent unaware of side effects or constraints.

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 concise—two sentences that efficiently convey the tool's purpose and key outputs. No redundant or extraneous information.

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 zero parameters and no output schema, the description covers the main functionality but omits preconditions (e.g., session must be initialized) and edge cases (e.g., behavior when no session exists). It is adequate but not fully complete.

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 input schema has zero parameters (100% coverage), so the description need only add context. It lists example returned metrics (win rate, ROI, streaks, risk metrics), which adds some semantic value beyond the schema. Baseline for 0 parameters is 4.

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 states the tool returns detailed statistics for the current Oscar's Grind session, listing specific metrics (win rate, ROI, streaks, risk metrics). It distinguishes from siblings like oscarsgrind_init, oscarsgrind_record, oscarsgrind_reset, and oscarsgrind_status, which have different purposes.

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 provides no guidance on when to use this tool versus alternatives. With many sibling tools for different betting strategies, there is no contextual differentiation or mention of prerequisites (e.g., session must be started via oscarsgrind_init).

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