Skip to main content
Glama

Try TokenZero (no key needed)

try_tokenzero
Read-only

Call this first: no API key, no signup, no setup. Shows what TokenZero would do to one of your LLM calls: it runs the four savings engines (prompt-cache formatting, edge cache, cascade advice, signed receipt) on a sample or your own prompt and model, and returns the list-price saving, the signed receipt and a copy-paste keyless curl that makes a real call on a free model. Pass {} for the default, or {"model": "gpt-6.1-sol", "system": "...", "prompt": "..."}.

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": "try_tokenzero"
  }
}

Input Schema

NameRequiredDescriptionDefault
modelNoa priced model id; default gpt-6.1-sol
promptNoyour user message (optional)
systemNoyour system prompt (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and non-destructive, so the safety profile is covered; the description adds meaningful context beyond that: keyless access, that it runs a simulation on a sample or your prompt, and that it returns a receipt plus a keyless curl that makes a real call on a free model. It doesn't contradict any annotation, though it could note that the demo is stateless/throws nothing away.

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 critical instruction ("Call this first") is front-loaded and there is no filler. The single long sentence is dense and would read better split, but every clause carries information an agent needs.

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?

With no output schema, the description steps in to describe the return values (saving amount, signed receipt, curl snippet). Combined with the keyless/no-setup note and invocation examples, an agent has everything needed to call it correctly on the first try.

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?

Schema coverage is 100%, so the schema already documents all three optional params. The description still adds value by giving two concrete invocation examples ({} and a populated model/system/prompt object), showing the intended shapes and defaults in a way the schema alone does not.

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 names a specific action (run the four savings engines on a sample or your own prompt) and the concrete outputs (list-price saving, signed receipt, copy-paste curl). It is clearly distinguishable from siblings like audit_repo_token_waste or provision_workspace, which are named operations rather than a no-key demo.

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

Usage Guidelines5/5

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

"Call this first" makes the ordering explicit, and "no API key, no signup, no setup" states the precondition. It also tells the agent exactly how to invoke it (pass {} for defaults), removing any guesswork about the entry-point tool.

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.