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How to order

get_ordering_info
Read-onlyIdempotent

How a person orders a check: steps, top-up methods and minimum, file rules, how long results are kept.

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": "get_ordering_info"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered by structured data. The description adds the topical scope of the returned information, which is useful. Like the calibration case, it leaves return format and presentation unstated, so a 3 rather than higher.

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?

One sentence, front-loaded with the subject ('how a person orders a check') followed by the enumerated topics. No filler or repetition. Slightly listy phrasing ('steps, top-up methods and minimum, file rules') costs a little readability.

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 zero-parameter, non-mutating documentation tool with no output schema, the content scope listed is the main thing an agent needs to decide to call it. Only the absence of explicit routing guidance toward sibling tools leaves a small gap.

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 the baseline is 4. The description correctly implies a static, argument-free lookup by describing only content categories, and the empty schema confirms it.

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 resource precisely: the ordering process for a check, enumerated as steps, top-up methods and minimum, file rules, and retention period. That is specific enough that an agent can distinguish it from get_quote and list_services without opening any schema. It stops short of 5 because it never explicitly states what it is not (e.g. 'not a price quote').

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer 'call this when the user asks how to submit an order or what the deposit minimum is.' There is no explicit when-to-use sentence, no when-not-to-use, and no pointer to get_quote for pricing questions, which is the most likely adjacent need.

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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