Skip to main content
Glama

random_term

Pull a random term from the AI Dictionary to discover inspiration or explore new AI phenomenology concepts.

Instructions

Get a random term from the AI Dictionary for inspiration or exploration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description bears full responsibility. It states the tool 'gets' a random term, implying a safe read operation, but does not disclose additional behavioral traits like idempotency, side effects, or whether it returns full term details. The description is minimal and leaves some behavior inferred.

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 a single sentence that is concise and front-loaded with the action and resource. Every word serves a purpose, and there is no extraneous information.

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

Completeness5/5

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

Given the simplicity of the tool (no parameters, output schema exists), the description is complete. It explains what the tool does and why to use it. The output schema covers return format, so no further detail is needed.

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

Parameters4/5

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

The tool has zero parameters, and the input schema is empty with 100% schema description coverage. Since there are no parameters to document, the description adds no parameter information, but this is acceptable. Baseline for 0 parameters is 4.

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 verb 'Get' and the resource 'a random term from the AI Dictionary', distinguishing it from sibling tools like lookup_term (specific term) or search_dictionary (with query). It also adds purpose ('for inspiration or exploration'), making the tool's role unique and well-defined.

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 implicitly guides usage with 'for inspiration or exploration', indicating when to use this tool. However, it does not explicitly mention when not to use it or provide alternatives among siblings, which would be helpful for an AI agent deciding between multiple tools.

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/Phenomenai-org/ai-dictionary-mcp'

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