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Quora MCP Server and API by Cotlet

Search questions in Quora

quora_search_questions
Read-onlyIdempotent

Search questions 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_search_questions"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint, destructiveHint=false, idempotentHint, openWorldHint=false), so the bar is lower, and the description still adds the critical behavioral fact that it 'opens nothing by itself' — preventing an agent from assuming the search is executed. It also explains the reason for the guide-and-browse flow (no public Quora API). It does not describe the shape or length of the returned instructions.

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?

Front-loaded and reasonably short, but the final sentence is clumsily built: the 'Quora's official API:' label dangles into a sentence that restates itself. The 'from ChatGPT, Claude or any AI agent' clause adds no decision-relevant information for a calling agent.

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-executing guide tool with no output schema, the description covers what it does, what it returns (steps, screens, buttons, fields), what it does not do, and what to call next. The only real omission is the relationship to the duplicate 'search_questions' sibling.

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 applies. Nothing in the description is needed to supplement the empty schema.

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?

States a concrete verb+resource ('Search questions in the user's own Quora account') and immediately clarifies the non-obvious twist: it returns step-by-step instructions instead of performing the search. It never mentions the near-identically named sibling 'search_questions', so an agent choosing between the two gets no disambiguation from the text.

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?

Explicitly prescribes the follow-up path: after getting the steps, execute them with the cotlet_browser_* tools in the user's Quora Cloud Browser. That is real when/how guidance. It stops short of stating when NOT to use this versus search_questions or cotlet_app_guide.

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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