Skip to main content
Glama

get-category-axioms

Retrieve first-order logic axioms for category theory concepts like categories, functors, and natural transformations to support formal reasoning and verification.

Instructions

Get FOL axioms for category theory concepts.

Available concepts:

  • category: Composition, identity, associativity axioms

  • functor: Preserves composition and identity

  • natural-transformation: Naturality condition

  • monoid: Binary operation with identity and associativity

  • group: Monoid with inverses

Example: concept: "monoid" → Returns axioms for monoid structure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYesWhich concept's axioms to retrieve
functor_nameNoFor functor axioms: name of the functor (default: F)
verbosityNoResponse verbosity: 'minimal' (token-efficient), 'standard' (default), 'detailed' (debug info)
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool retrieves axioms (implying a read-only operation) and includes an example of output format, but lacks details on behavioral traits like error handling, rate limits, or authentication needs. The example adds some context but is not comprehensive.

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

Conciseness5/5

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

The description is appropriately sized and front-loaded, starting with the core purpose, followed by a structured list of concepts and a clear example. Every sentence earns its place by providing essential information without redundancy.

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

Completeness3/5

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

Given the complexity (3 parameters, no output schema, no annotations), the description is somewhat complete but has gaps. It covers the purpose and concepts well, but lacks details on output format beyond the example, error cases, or how parameters like 'verbosity' affect behavior, making it adequate but not fully comprehensive.

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%, so the schema already documents all parameters. The description adds minimal value by listing concepts and providing an example that implies the 'concept' parameter usage, but does not explain parameter interactions or semantics beyond what the schema provides.

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

Purpose5/5

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

The description clearly states the tool's purpose with specific verb ('Get') and resource ('FOL axioms for category theory concepts'), and distinguishes it from siblings by focusing on retrieving axioms rather than operations like proving or verifying. The list of available concepts further specifies the scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool by listing available concepts and including an example, but it does not explicitly state when not to use it or mention alternatives among sibling tools (e.g., 'prove' or 'verify-commutativity').

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/autonull/mcplogic'

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