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AI credit packs

list_credit_tiers
Read-only

The AI-question credit packs and their prices. Free.

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": "list_credit_tiers"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered without description help. The description adds only that the listing is 'Free', which is modest added context; it says nothing about whether prices are currency-specific, region-dependent, or static.

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

Conciseness3/5

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

It is very short with no padding, but both sentences are fragments rather than a front-loaded statement of action, and the trailing 'Free.' earns little space for its ambiguity (free to call? free packs?). A single well-formed sentence would have served better.

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?

With no parameters and no output schema, the description should at least characterize what a pack record contains (size, price, currency, validity) so the agent knows whether the result answers the user's question. It only says 'packs and their prices', leaving the shape of the answer unknown.

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 takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. Nothing in the description misrepresents the parameter-less nature of the call.

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 names the specific resource (AI-question credit packs) and what it returns (their prices), which is enough to distinguish it from most siblings. However, it does not disambiguate against the closely related quote_credits or start_topup tools, which an agent could easily confuse with a listing of packs and prices.

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?

There is no explicit when-to-use guidance and no mention of the alternative tools (quote_credits, start_topup, get_usage) that an agent should consider for related credit questions. The word 'Free' hints that calling it costs nothing, but that is the only, and indirect, usage signal.

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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