Skip to main content
Glama

Random Pun

RandomPun
Read-only

Random Pun: Random Pun retrieves a random pun and its topic category on every request. Each call supplies the full pun text, with paid plans adding an additional humor rating score. (Cost: 1 credit)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "RandomPun"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

The annotations already establish that this is a read-only, non-destructive, open-world tool. The description adds meaningful behavior beyond that: each call returns a random pun with its topic category, paid plans include an additional humor rating, and each request costs 1 credit. It does not cover other operational details such as rate limits or output variability, but the added context is useful.

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 appropriately brief and front-loads the core purpose. It does, however, open with 'Random Pun: Random Pun,' redundantly repeating the tool name and title, which slightly reduces efficiency.

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?

For a zero-parameter, read-only random generator with an output schema, the description supplies the essential context: stateless randomness, returned fields, plan-dependent humor rating, and credit cost. Nothing material is missing for an agent to call it correctly.

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?

There are zero parameters, so the baseline is 4. The empty input schema is consistent with the tool, and no additional parameter semantics are needed.

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 states a specific verb and resource: it retrieves a random pun plus its topic category on each request. That is clear enough to distinguish it from most siblings, but it does not explicitly contrast itself with near-neighbors such as RandomJoke, DadJokes, or RandomQuote.

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 implies when the tool is useful—when a random pun is wanted—and mentions a 1-credit cost. However, it gives no explicit when-to-use or when-not-to-use guidance and does not direct the agent toward or away from sibling joke and quote generators.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.