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SingIt x402

by app.singitai
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Chat (free)

chat_free
Read-only

Free model answers, no key needed. Answers are short (400 tokens), with a small daily allowance shared per network and a shared daily budget that can run out. To pay for a model answer with your key use chat with the same model without the free/ prefix.

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": "chat_free"
  }
}

Input Schema

NameRequiredDescriptionDefault
modelNoA free model id such as deepseek-v4.1-flash; the free/ prefix is added if missing. Defaults to free/deepseek-v4.1-flash.
promptNoThe question, as one user message. Send exactly one of prompt or messages.
messagesNoA whole conversation instead of prompt: text messages, oldest first.
max_tokensNoLongest answer, in tokens (1 to 400, default 400).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, non-destructive, openWorld), so the bar is lower, yet the description adds genuinely new behavioral facts: a 400-token answer cap, a small daily allowance shared per network, and a shared daily budget that can run out. It stops short of saying what the agent sees when the budget is exhausted (error vs. empty response).

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?

Three tight sentences, front-loaded with the core value proposition and ending with the routing rule. The 400-token limit is stated twice in effect (short answers, 400 tokens), a minor redundancy.

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

Completeness4/5

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

For a four-parameter, zero-required, no-output-schema tool with full schema coverage and readOnly annotations, the description supplies the quota model and the paid alternative — the two things an agent most needs. Only the failure mode when the shared budget runs out is left unstated.

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 every parameter is already documented in the schema; the description only reinforces the 400-token ceiling and the free/ prefix convention already stated in the model parameter. No additional syntax, format, or mutual-exclusivity detail beyond what the schema provides.

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 the resource clearly (free model answers, no key required) and explicitly differentiates from the sibling 'chat' tool by naming it and the condition that selects it. The verb is somewhat implicit ('answers' rather than 'generate'), but the intent is unambiguous.

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?

It explicitly routes the agent to the alternative: use 'chat' with the same model (no free/ prefix) when paying with a key. It implies but never states the trigger condition — that the free allowance or shared daily budget is exhausted — so the when-not rule must be inferred from the quota sentences.

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

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