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petropt

petropt/petro-mcp

fit_sepd_decline

Fit a Stretched Exponential decline model to production data from unconventional reservoirs to estimate future performance.

Instructions

Fit Stretched Exponential (SEPD) decline model to production data.

The SEPD model (Valko, 2009) uses a stretched exponential function effective for unconventional reservoirs with heterogeneous fracture networks.

Args: production_data: List of dicts with 'time' (months) and 'rate' keys, or 'oil'/'gas' keys (time assumed as sequential months).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
production_dataYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It mentions the model is for unconventional reservoirs with heterogeneous fracture networks, but does not state whether the operation is read-only, modifies data, or has side effects. The behavioral disclosure is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences for purpose and model context, then a parameter description. Slightly verbose but no fluff; could be formatted with bullet points for readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the input parameter well and references an output schema existence, but lacks usage context (when to use, what it returns) and does not differentiate from sibling decline tools. It is partially complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates by explaining that 'production_data' is a list of dicts with specific allowed keys ('time' and 'rate', or 'oil'/'gas'), and that time is assumed as sequential months. This adds critical meaning beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Fit Stretched Exponential (SEPD) decline model', which is a specific verb+resource combination. It distinguishes from sibling tools like fit_decline, fit_duong_decline, and fit_ple_decline by naming the specific model.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives among the many decline curve siblings. No indications of prerequisites, data requirements, or comparative advantages are given.

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

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