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sympy_matrix

Create matrices from semicolon-separated rows for symbolic mathematics operations. Use this tool to build matrices for algebraic computations, equation solving, and matrix operations within the SymPy library.

Instructions

Create a matrix from rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYesSemicolon-separated rows, e.g., "1,2; 3,4"

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 carries full burden. It states the tool creates a matrix but doesn't disclose behavioral traits such as error handling (e.g., for malformed input), whether the operation is idempotent, performance characteristics, or what the output looks like (though an output schema exists). For a creation tool with zero annotation coverage, this is a significant gap.

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 a single, efficient sentence with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly without unnecessary elaboration.

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 the tool's low complexity (single parameter), high schema coverage (100%), and the presence of an output schema, the description is reasonably complete. It clearly states what the tool does, though it could benefit from more behavioral context and usage guidance relative to siblings. The output schema reduces the need to explain return values in the description.

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%, with the parameter 'rows' fully documented in the schema as 'Semicolon-separated rows, e.g., "1,2; 3,4"'. The description adds no additional parameter information beyond what the schema provides, so the baseline score of 3 is appropriate when the schema does the heavy lifting.

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 action ('Create') and resource ('matrix from rows'), making the purpose immediately understandable. However, it doesn't differentiate from sibling matrix tools like sympy_eye, sympy_ones, sympy_zeros, or sympy_randMatrix, which also create matrices but through different methods or with different properties.

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 provided on when to use this tool versus alternatives. With many sibling tools for matrix operations (e.g., sympy_eye for identity matrices, sympy_randMatrix for random matrices), the description lacks context about when this specific row-based creation method is appropriate or what prerequisites might exist.

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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