Skip to main content
Glama
petropt

petropt/petro-mcp

get_curve_values

Retrieve specific curve values from a LAS file using curve mnemonics, with optional depth range filtering to isolate data within a given interval.

Instructions

Get specific curve data from a LAS file with optional depth range filtering.

Args: file_path: Absolute path to the LAS file. curve_names: List of curve mnemonics to retrieve (e.g., ["GR", "RHOB"]). start_depth: Optional start depth for filtering. end_depth: Optional end depth for filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
curve_namesYes
start_depthNo
end_depthNo

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, and the description lacks details beyond the core functionality. It does not disclose behavioral traits like performance, read-only nature, or error handling. The depth range filtering is mentioned but not elaborated.

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 short and begins with a one-line summary. The argument list is structured and informative. However, some sentences could be more efficiently combined without losing clarity.

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 presence of an output schema (not shown), the description adequately covers the inputs and core behavior. However, it lacks details on edge cases, such as invalid depth ranges or missing curves, which would be useful for a comprehensive understanding.

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

Parameters4/5

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

The schema has 0% description coverage, but the tool description provides clear explanations for each parameter, including file_path, curve_names, start_depth, and end_depth. This adds significant meaning beyond the schema's basic titles and types.

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

Purpose4/5

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

The description clearly states the tool retrieves specific curve data from a LAS file with optional depth filtering. The verb 'get' and resource are clear, but it does not distinguish itself from sibling tools like 'get_curves' or 'read_las'.

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?

The description provides argument details but no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or 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.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/petropt/petro-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server