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petropt/petro-mcp

radius_of_investigation

Calculate radius of investigation for well tests using permeability, time, porosity, viscosity, and compressibility to estimate pressure transient propagation distance.

Instructions

Calculate radius of investigation for a well test.

r_inv = 0.029 * sqrt(kt / (phimu*ct)), from Lee (1982).

Args: permeability_md: Formation permeability in millidarcies. time_hours: Elapsed time in hours. porosity: Porosity (fraction, 0-1). viscosity_cp: Fluid viscosity in centipoise. total_compressibility: Total system compressibility in 1/psi.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
permeability_mdYes
time_hoursYes
porosityYes
viscosity_cpYes
total_compressibilityYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the formula, parameter meanings, and source. Since this is a pure calculation with no side effects, the description is sufficiently transparent.

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

Conciseness5/5

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

The description is concise: a brief purpose statement, the formula, and an organized list of parameters. Every sentence adds value and the structure is clear.

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

Completeness4/5

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

Given that the tool is a simple mathematical calculation with an output schema (though not provided), the description is complete enough. It explains the formula and each input parameter. The lack of output schema details is offset by the existence of the schema itself.

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?

With 0% schema description coverage, the description provides brief parameter explanations (e.g., 'Formation permeability in millidarcies'). While helpful, these are minimal and do not add significant meaning beyond the parameter names and schema types.

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 it calculates radius of investigation for a well test, provides the formula and cites the source (Lee 1982). This specific verb and resource distinguishes it from sibling tools that perform other calculations.

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 does not explicitly state when to use this tool versus alternatives. However, as a specific calculation, usage context is implied but no guidance on exclusions or prerequisites 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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