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

No annotations are provided, so the description carries the burden. It discloses the cost ($0.05 per call), payment methods (x402, API key), and educational nature. However, it doesn't describe return format, pagination, or error behavior, which is a gap for a paid API tool.

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 dense but front-loaded with the core purpose and fields. The payment and catalog information is useful but adds length; still, it's structured and each sentence adds value. Slightly long but acceptable for a paid API.

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 the tool has 2 optional params, no output schema, and no annotations, the description covers the main purpose, filter, and payment. However, it lacks details on response structure, pagination, and error handling, which are important for a paid API. It's adequate but not 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?

Schema description coverage is 0%, so the description must compensate. It explains the signal_type filter's purpose (per-strategy slicing) but doesn't detail the limit parameter's behavior or valid values. The description adds some meaning beyond the schema but not comprehensive.

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 retrieves Kelly-criterion outcome ledger data with specific fields (signal_type, pnl, r_multiple, kelly_fraction, narrative_score, llm_provider) and mentions an optional filter. It distinguishes from siblings by focusing on Kelly outcomes and live performance history, though it doesn't explicitly name alternatives.

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 provides clear context for when to use (to access strategy's live performance history) and mentions the optional signal_type filter for per-strategy slicing. It doesn't explicitly state when not to use or name alternatives, but the context is sufficient for a data retrieval tool.

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