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ZidingWang

Dual Water Tank MCP

by ZidingWang

Batch fit dual water tank model

batch_fit_dual_water_tank

Fit a lithium-ion dual-water-tank model to charge/discharge voltage-capacity data for battery aging mechanism identification. Supports batch processing of files with per-file and summary outputs.

Instructions

Fit all supported files in a directory, or a supplied file list. Writes per-file curves plus batch summaries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
filesNo
currentNoCurrent magnitude in A. If omitted, parse C-rate from filename or use 0.
r_upperNo
directionNoauto
input_dirNo
all_sheetsNo
anode_pathNoAnode half-cell OCV file. Defaults to test_cases/25C_0.1C/anode.txt.
max_pointsNo
output_dirNo
generationsNo
voltage_colNo1-based column number or Excel letter.
capacity_colNo1-based column number or Excel letter.
cathode_pathNoCathode half-cell OCV file. Defaults to test_cases/25C_0.1C/cathode.txt.
penalty_weightNo
population_sizeNo
resistance_signNoHow to choose the I*R sign. Auto fits both +I*R and -I*R and keeps the lower full-data RMSE.auto
capacity_lower_factorNo
capacity_upper_factorNo
Behavior2/5

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

With no annotations, the description must disclose all behavioral traits. It mentions writing per-file curves and batch summaries, but does not explain side effects, permission needs, resource usage, output format, or performance characteristics.

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 two concise sentences that front-load the core action and outputs. Every word contributes meaning without extraneous detail.

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

Completeness2/5

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

Given 19 parameters, no output schema, and no annotations, the description is too brief. It lacks information about output format, batch behavior, and parameter roles, making it incomplete for effective agent use.

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

Parameters2/5

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

Schema coverage is low (32%), yet the description adds no parameter explanations. It does not clarify key params like seed, files, current, or direction, leaving the agent to rely on schema alone.

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 fits all supported files in a directory or a file list, and writes per-file curves and batch summaries. This distinguishes it from siblings like fit_dual_water_tank (single file) and preview_dual_water_tank_data (preview).

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 use for batch processing multiple files, but does not explicitly contrast with single-file fitting or provide when-not-to-use guidance. No alternatives are mentioned despite siblings existing.

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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