Skip to main content
Glama

verify_derivation

Check mathematical derivations step by step for correctness. Supports text, LaTeX, and Mathematica output formats.

Instructions

Verify a mathematical derivation step by step

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsYesArray of mathematical expressions representing steps in a derivation
formatNoOutput format (text, latex, or mathematica)text
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only says 'step by step' but does not explain what verification entails, whether it checks mathematical correctness, or what happens on failure. Key behavioral details are missing.

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

Conciseness4/5

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

The description is concise at 7 words and front-loaded with the action. It wastes no words, but might be too brief for complex guidance. Still, it earns a high score for efficiency.

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 purpose (verification) and lack of output schema, the description should explain what the tool returns or how correctness is indicated. It does not address return values, success criteria, or error handling, making it incomplete.

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 description coverage is 100%, with clear explanations for both parameters. The description adds no extra meaning beyond the schema, so it meets baseline expectations but does not enhance understanding.

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?

The description clearly states 'Verify a mathematical derivation step by step', specifying the action (verify) and resource (mathematical derivation). However, it does not explicitly differentiate from the sibling tool 'execute_mathematica', which could cause confusion, but the purpose is still clear enough.

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 like 'execute_mathematica'. There is no mention of prerequisites, limitations, or when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/texra-ai/mcp-server-mathematica'

If you have feedback or need assistance with the MCP directory API, please join our Discord server