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Advice Generator

AdviceGenerator
Read-only

Advice Generator: Advice Generator supplies random pieces of advice on demand. Each response includes a unique advice identifier, the advice quote, and the language code. (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": "AdviceGenerator"
  }
}

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
Behavior4/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds a genuinely new behavioral fact beyond the structured fields: each call costs 1 credit, which matters for budgeting repeated invocations. It also repeats the return fields, which the output schema already covers.

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?

The opening 'Advice Generator: Advice Generator supplies...' repeats the title and name in a way that wastes space. After that, the single sentence is efficient and front-loads the purpose and the cost.

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 tool with an output schema and full annotation coverage, the description supplies everything needed to invoke it, including the per-call cost. The only omission is routing guidance against similar random-content siblings.

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 nothing for the description to clarify and the baseline score is 4. The description correctly implies the call is parameterless and returns a random result.

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 supplies random pieces of advice on demand, and it names the three fields in each response. It is clear on its own, but it never distinguishes itself from close siblings such as RandomQuote, RandomFacts, FortuneCookieGenerator, or ComplimentGenerator, so an agent choosing among them gets no help.

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 guidance on when to use this tool rather than a sibling, and no exclusions or prerequisites are stated. The only implied usage cue is 'on demand,' which does not select between this and the many other random-content generators.

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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