fahali_get_case_studies

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

The description fully discloses that the tool returns 40 time-diverse cases with detailed fields, and states it is public. However, without annotations, it could have added more about potential limitations or side effects (e.g., rate limits, data freshness). It does not contradict any implicit behavioral expectations.

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 two sentences long, front-loaded with the essential action and result details. Every sentence adds value: the first explains what is returned, the second adds the engine context and access level.

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 no parameters and no output schema, the description provides a thorough list of return fields and notes public access. It explains the source and coverage of the cases. Missing is an explicit use case or when to prefer this tool, but it is largely complete for the tool's simplicity.

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 tool has zero parameters, so schema coverage is effectively 100%. The description adds no parameter details but explains the return data, which compensates for the lack of output schema. Baseline for zero 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 retrieves verified case studies with a specific list of fields, including symbol, alert type, confidence, direction, entry/outcome prices, profit/loss, correctness, outcome kind, and returns. It specifies the source as 'signal-outcome moat' and 'walk_forward engine,' making the purpose distinct 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?

The description notes 'Public data — no tier required,' which implies accessibility, but it does not specify when to use this tool versus alternatives like fahali_get_track_record_scorecard or search_memories. No explicit when-to-use or when-not-to-use guidance is provided.

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