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MCP Mathematics

MCP Mathematics

by SHSharkar
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Batch Calculate

batch_calculate

Process a list of mathematical expressions and return their results in one operation.

Instructions

Batch calculate expressions

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": {
      "expressions": "<expressions>"
    },
    "name": "batch_calculate"
  }
}

Input Schema

NameRequiredDescriptionDefault
expressionsYesList of mathematical expressions to evaluate

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.3.1

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'Batch calculate expressions' without mentioning side effects, performance implications, or error handling, leaving the agent uninformed.

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

Conciseness2/5

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

The description is only 3 words, which is excessively brief. While short, it lacks necessary information such as what constitutes a valid expression or return behavior, making it under-specified.

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 complexity of batch evaluation and the existence of many sibling tools, the description is insufficient. It does not mention output format, supported operations, or error modes, relying solely on the output schema which is not described.

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 coverage is 100% and the parameter 'expressions' is well-described in the schema. The description adds no extra meaning, but the schema suffices, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

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

The description 'Batch calculate expressions' states the action and resource but is vague. It does not clarify that it processes multiple expressions in a single call, which would distinguish it from siblings like 'calculate_expression'.

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?

The description provides no guidance on when to use this tool versus alternatives, such as 'calculate_expression' for single expressions or 'session_calculate' for session context.

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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