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mcp-sympy

mcp-sympy

by daedalus
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

sympy_symbols_create

Create multiple symbolic variables by providing a string of names. Use these symbols in SymPy algebraic computations.

Instructions

Create multiple symbols.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "names": "<names>"
    },
    "name": "sympy_symbols_create"
  }
}

Input Schema

NameRequiredDescriptionDefault
namesYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.3/5.0
Behavior1/5

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

No annotations are present, and the description is minimal. It does not disclose any behavioral traits such as how multiple symbols are parsed from the input string, whether they are created as a tuple or list, or any side effects. The agent has no insight beyond the basic action.

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

Conciseness3/5

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

The description is very short (3 words), but it fails to include essential details about usage and parameters. While brief, it is under-specified, which reduces its helpfulness. It is not efficiently concise but rather minimal to a fault.

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

Completeness2/5

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

Given the tool's simplicity (1 parameter), the description should at least explain how to specify multiple symbols and what the output is. The output schema exists but is not described, leaving the agent without a complete picture.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no meaning to the 'names' parameter. The agent cannot infer the expected format (e.g., comma-separated strings, whitespace-separated, or something else). The parameter remains opaque.

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?

Description clearly states the tool creates multiple symbols, but does not differentiate from the sibling tool 'sympy_symbols' which likely has similar functionality. The verb 'create' and resource 'symbols' are specific, but without sibling context, selection ambiguity remains.

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 on when to use this tool vs alternatives like 'sympy_symbol' or 'sympy_symbols'. No context about prerequisites or typical use cases is provided.

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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