Oshyn Free AI-Powered Website Tools

register_advisor_inferred_answers

Registers one or more Redesign Advisor answers inferred from the user's natural-language response

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "sessionId": "<sessionId>",
      "inferredAnswers": "<inferredAnswers>"
    },
    "name": "register_advisor_inferred_answers"
  }
}

Input Schema

Name	Required	Description	Default
`sessionId`	Yes	The sessionId from the current chat context
`inferredAnswers`	Yes	Answers inferred from the user's natural-language response. Each item must include the questionnaire questionId, one or more selected answerIds, optional confidence from 0 to 1, and optional evidence text.

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 12, 2026

TDQS

A3.5/5.0

Behavior2/5

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

With no annotations, the description must carry the full burden. It only says 'registers' without disclosing side effects, idempotency, validation behavior, or error handling. The added context of 'inferred from natural-language response' gives domain meaning but not behavioral transparency.

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

Conciseness5/5

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

The description is a single, front-loaded sentence that gets straight to the point. No unnecessary words, perfectly sized for the purpose.

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?

The schema is rich and defines the parameter structure well, but with no annotations and minimal description, the agent lacks guidance on behavioral aspects like overwriting, merging, or failure modes. For a registration tool, the purpose and parameters are clear, but completeness is average.

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%, providing detailed descriptions for both parameters. The description adds the 'inferred' context but does not elaborate beyond the schema. Baseline 3 is appropriate since the schema does the heavy lifting.

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 clearly states the action (registers) and the resource (Redesign Advisor answers inferred from natural-language response). It distinguishes from sibling tools like register_advisor_user_answer and register_budget_inferred_answers by specifying 'Redesign Advisor' and 'inferred.'

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?

The term 'inferred' implies the tool is for natural-language responses where answers are deduced, contrasting with register_advisor_user_answer. However, no explicit guidance or alternative names are provided, so usage context is implied rather than direct.

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

All Oshyn Free AI-Powered Website Tools tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources

Need Help?