mcp-sympy

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Logical implication' gives no information about what the tool actually does behaviorally - whether it evaluates, simplifies, returns symbolic expressions, handles truth values, or performs any computation. It doesn't mention input/output behavior, error conditions, or any operational characteristics.

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?

While technically concise with just two words, this represents under-specification rather than effective conciseness. The description fails to provide necessary information that would help an AI agent understand and use the tool correctly. Every word should earn its place, but here the words don't provide meaningful operational guidance.

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 that this is a logical operation tool with 2 parameters and an output schema (though not shown), the description is severely incomplete. It doesn't explain what the tool returns, how it processes the logical implication, or provide any context about mathematical/logical operations. While the output schema might help, the description itself provides inadequate context for understanding the tool's purpose and behavior.

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 clear parameter descriptions ('Antecedent' for lhs, 'Consequent' for rhs). The description adds no additional parameter semantics beyond what the schema already provides. With high schema coverage, the baseline score of 3 is appropriate since the schema does the heavy lifting for parameter documentation.

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 'Logical implication' is a tautology that merely restates the tool name 'sympy_Implies' without specifying what it does. It doesn't provide a clear verb+resource combination or distinguish this logical operator from sibling tools like sympy_And, sympy_Or, sympy_Not, sympy_Nand, sympy_Nor, or sympy_Xor. The purpose remains vague beyond the mathematical concept name.

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 absolutely no guidance on when to use this tool versus alternatives. It doesn't mention any context, prerequisites, or comparisons with sibling logical operators like sympy_And or sympy_Or. There's no indication of when implication is appropriate versus other logical operations.

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