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FraanW

MATLAB MCP Server

by FraanW

execute_matlab_code

Run MATLAB code and retrieve results for analysis, debugging, or automation. Get direct output without leaving your AI assistant.

Instructions

Execute MATLAB code and return the results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesMATLAB code to execute
saveScriptNoWhether to save the MATLAB script for future reference
scriptPathNoCustom path to save the MATLAB script (optional)
Install Server

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral disclosure burden. It states the basic action and result but does not disclose execution side effects, persistence between calls, result format, or how saveScript and scriptPath affect behavior. This is thin for an arbitrary code-execution tool.

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 one compact sentence with no filler and the primary action is front-loaded. It is concise, though arguably too terse given the missing behavioral context.

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?

For a tool with one required parameter and fully documented optional parameters, the schema plus description are mostly usable. However, with no output schema and no annotations, the vague phrase 'return the results' leaves the return format undefined, and no execution-environment context is given.

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?

Schema description coverage is 100%, so each parameter is already documented in the schema. The description adds no additional meaning for 'code', 'saveScript', or 'scriptPath', so the baseline 3 applies.

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 uses a specific verb ('Execute'), identifies the target ('MATLAB code'), and notes the outcome ('return the results'). It is clear on its face but does not explicitly distinguish this tool from its sibling generate_matlab_code, so it stops short of a 5.

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?

No guidance is given about when to choose execute_matlab_code over generate_matlab_code, and there are no exclusions or prerequisites. The intended use must be inferred from the tool name and basic semantics rather than from explicit direction.

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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