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Quora MCP Server and API by Cotlet

Post answer in Quora

quora_post_answer
Read-onlyIdempotent

Post answer in the user's own Quora account from ChatGPT, Claude or any AI agent. Returns how to do it in Quora step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Quora Cloud Browser. Quora's official API: Quora has no public API and no developer docs (checked 27 Oct 2026).

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": "quora_post_answer"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description is consistent, adding the critical behavioral fact that the tool is a guidance-only call that opens nothing and produces step-by-step screen/button/field instructions. That is meaningful context beyond the annotations, given there is no output schema to describe the return shape. It omits whether the steps are static or session-dependent and gives no notion of what the eventual browser actions require.

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?

Purpose and the 'opens nothing by itself' caveat are front-loaded and the workflow follows in a compact sequence. The closing sentence is slightly redundant ('Quora's official API: Quora has no public API') and the forward-dated check ('checked 27 Oct 2026') looks odd, though the fact itself is useful justification for the browser-based workflow.

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, annotation-covered tool with no output schema, the description supplies the two things an agent needs: what it returns (step-by-step guidance) and what to do next (cotlet_browser_* tools). The main remaining gap is that it never clarifies its relationship to the sibling post_answer, which an agent could reasonably pick instead.

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 schema has zero parameters, so there is nothing to disambiguate and the baseline applies. The description does not add parameter meaning, but none is needed for a no-argument tool.

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 gives a specific verb and resource ('Post answer in the user's own Quora account') and then corrects the misleading name by stating the tool only returns step-by-step instructions (screens, buttons, fields) and 'opens nothing by itself.' That correction is essential and lets an agent tell it apart from the actual browser-execution tools. It does not, however, distinguish it from the sibling post_answer, which sounds like it performs the same action.

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 states the use case (posting an answer from an AI agent) and describes the workflow sequence: call this to get guidance, then execute with cotlet_browser_* tools in the user's Quora Cloud Browser. That is clear usage context, but no explicit exclusion of alternatives (especially sibling post_answer or ask_question), so it falls short of a 5.

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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