mcp-sympy

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Compute a product' gives no information about whether this is a read-only operation, if it has side effects, error handling, performance characteristics, or output format. For a mathematical computation tool with zero annotation coverage, this is completely inadequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at just two words, with no wasted language. While this conciseness comes at the cost of clarity and completeness, the description itself is efficiently structured without unnecessary elaboration.

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

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

Given the complexity of mathematical product computation with 4 required parameters and no annotations, the description is insufficient. While an output schema exists (which helps), the description doesn't explain what type of product is being computed, when to use it, or any behavioral aspects. For a tool with this level of mathematical sophistication among many sibling alternatives, more context is needed.

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

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

Schema description coverage is 100%, with all four parameters (expr, variable, lower, upper) having clear descriptions in the schema. The description adds no additional parameter information beyond what's already documented in the schema, so it meets the baseline score of 3 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.

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

The description 'Compute a product' is a tautology that essentially restates the tool name 'sympy_product'. While it indicates a mathematical operation, it doesn't specify what kind of product (e.g., symbolic product over a range, matrix product, or other mathematical product) or distinguish it from sibling tools like sympy_symbolic_mul or sympy_matrix_multiply that might also compute products.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools performing mathematical operations (e.g., sympy_sum, sympy_symbolic_mul, sympy_matrix_multiply), there's no indication of whether this is for symbolic products over ranges, matrix products, or other types, nor any prerequisites or context for its application.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.