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Pankaj-Deswal

battery-analyzer-mcp

calculate_gitt

Run the GITT method on titration Excel files to compute diffusion coefficients and kinetic parameters for battery analysis. Returns results including plots and summary.

Instructions

Run the GITT method on a titration Excel file from the data folder.

Args: file_name: File name in the data folder (e.g. GITT_67.xlsx). .xlsx is added if omitted. skip_rows: Number of metadata rows to skip at the top (default 6). L: Electrode thickness in cm (default 1e-4). threshold: Minimum dV to classify segment direction in V (default 1e-4). min_points: Minimum points per voltage segment (default 5). tau: Pulse duration in seconds (default 1800). max_plot_points: Maximum number of points per plot series (default 5000).

Returns: JSON with results_path, preview table, plots, and summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
LNo
tauNo
file_nameYes
skip_rowsNo
thresholdNo
min_pointsNo
max_plot_pointsNo

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 must carry the full burden. It does not disclose side effects, authentication needs, or whether the tool modifies data. The description focuses on parameters and return value, but lacks behavioral context.

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 well-structured with Args and Returns sections, and the main purpose is front-loaded. It is slightly verbose but every sentence adds value. Could be tightened slightly, but overall good.

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?

The description covers all parameters, default values, and the return format. It references the data folder, which provides context. However, it does not mention prerequisites such as file existence or format, or error handling. Output schema exists, so return details are sufficient.

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?

With 0% schema description coverage, the description adds substantial meaning. Each parameter is explained with its purpose, default value, and units (e.g., 'Electrode thickness in cm'). The note about '.xlsx added if omitted' adds practical semantics.

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 runs the GITT method on an Excel file, specifying the verb 'Run' and the resource 'titration Excel file'. It distinguishes from siblings like 'calculate_dunn' which likely runs a different method.

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 does not provide guidance on when to use this tool versus alternatives such as 'calculate_dunn'. There is no explanation of prerequisites or scenarios where this method is appropriate.

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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