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petropt

petropt/petro-mcp

rta_blasingame

Calculate Blasingame decline curve analysis parameters: material balance time, normalized rate, and rate-integral-derivative from production rates, cumulative, and pressure data.

Instructions

Compute Blasingame rate-normalized integral and derivative for type curve matching.

Calculates material balance time, normalized rate, rate-integral, and rate-integral-derivative used for Blasingame decline type curve analysis.

Args: times: Time values (days or months). rates: Production rates. cumulative: Cumulative production. flowing_pressures: Bottomhole flowing pressures (psi). initial_pressure: Initial reservoir pressure (psi).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timesYes
ratesYes
cumulativeYes
flowing_pressuresYes
initial_pressureYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses the computational outputs but lacks details on assumptions, error conditions, or prerequisites. For a computation tool, more transparency about expected data ranges or potential pitfalls would be beneficial.

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 a concise paragraph followed by a bullet-like Args list. It is front-loaded with the main purpose and avoids superfluous text. The Args section adds necessary detail without being overly verbose.

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?

Given the tool's complexity (5 required parameters, all arrays), the description adequately explains the output (Blasingame quantities) and mentions the analysis context. However, it does not discuss prerequisites or validation, and an output schema is present but not referenced. Completeness is adequate but not thorough.

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

Parameters3/5

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

The input schema has 0% description coverage, but the description includes an 'Args' section with brief explanations for each parameter (e.g., 'Time values (days or months)'). This adds meaning beyond the schema types, though units are ambiguous and relationships not explained.

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 clearly states the tool computes Blasingame rate-normalized integral and derivative for type curve matching. It specifies the verb 'Compute' and the resource 'Blasingame rate-normalized integral and derivative', distinguishing it from sibling RTA tools like rta_agarwal_gardner.

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

Usage Guidelines3/5

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

The description implies usage for Blasingame decline type curve analysis but does not explicitly state when to use this tool versus alternatives such as rta_agarwal_gardner or rta_npi. No guidance on when not to use it is provided.

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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