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. It mentions 'Create' (implying a write operation) and 'comma-separated' (hinting at input format), but doesn't describe what the tool returns, whether it's idempotent, error conditions, or how it interacts with other SymPy objects. For a tool with zero annotation coverage, this is insufficient.

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 4 words, with zero wasted text. It's front-loaded with the core action ('Create finite set') and includes a practical detail ('comma-separated'). Every word earns its place, making it highly efficient.

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 tool has an output schema (which handles return values), 1 parameter, and no annotations, the description is minimally complete. It states what the tool does and hints at input format, but for a mathematical tool in a complex sibling environment, it lacks context on use cases, limitations, or integration with other SymPy operations, leaving gaps in understanding.

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?

The input schema has 1 parameter with 0% description coverage, and the description adds minimal semantics: it implies 'elements' should be comma-separated. However, it doesn't explain what constitutes valid elements (e.g., numbers, symbols, expressions), whether spaces matter, or provide examples. This doesn't adequately compensate for the low schema coverage.

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 states the verb 'Create' and resource 'finite set', which clarifies the basic purpose. However, it doesn't specify what a finite set is in the SymPy context or how it differs from other set-related tools like sympy_emptyset, sympy_interval, or sympy_universalset among the many siblings. The purpose is clear but lacks sibling differentiation.

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 (e.g., sympy_emptyset, sympy_interval, sympy_universalset, sympy_product_set), there's no indication of when this specific finite set creation is appropriate, nor any prerequisites or exclusions mentioned.

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