fit_duong_decline

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

No annotations are provided, so the description must disclose behavior. It mentions the tool uses 'petbox-dca' but does not state whether it is read-only, modifies data, or has side effects. Critical behavioral aspects like error handling or output format are omitted.

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 relatively concise, with a brief introduction to the model and an args section. It avoids unnecessary detail but could be slightly tighter without losing clarity.

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 one parameter and no annotations, the description explains the parameter format reasonably. However, it does not mention what the tool returns (output schema exists) or cover error conditions, leaving some gaps for a complete understanding.

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 description adds meaning to the sole parameter beyond the schema: it specifies that each dict should contain 'time' (in months) and 'rate', or 'oil'/'gas' keys with sequential months. This is helpful but does not cover units or edge cases. Schema coverage is 0%, so the description compensates partially.

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 fits the Duong decline model to production data, specifically for fracture-dominated flow in unconventional reservoirs. This distinguishes it from other decline curve fitting tools like fit_decline (Arps) or fit_ple_decline.

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 explains the Duong model's applicability to shale and tight reservoirs, providing context for when it is appropriate. However, it does not explicitly contrast with sibling tools or state when not to use it.

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