# paper_ai_analyze

使用 AI 分析论文，返回核心贡献、研究方法、关键发现等。

Agent View of the PolicyLayer registry record for `paper_ai_analyze`. HTML page: https://policylayer.com/tools/45645678a-scholar-mcp/paper-ai-analyze

## Facts

- Tool: `paper_ai_analyze`
- Server: Scholar MCP Server (`45645678a/scholar-mcp`) — https://policylayer.com/tools/45645678a-scholar-mcp.md
- Homepage: https://github.com/45645678a/scholar-mcp
- Risk category: Read (Low risk)
- Registry record: grade A, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "paper_ai_analyze",
    "arguments": {}
  }
}
```

## Why paper_ai_analyze is rated Low

This tool reads and analyzes existing research papers to extract and summarize information (contributions, methods, findings). It performs inference on local data without side effects, data modification, deletion, or external execution. It is purely a Read operation with minimal blast radius—misuse would only surface incorrect or irrelevant analysis results, not compromise data integrity or trigger external actions.

From the tool's own definition: "paper_ai_analyze: 'returns core contributions, research methods, key findings, etc.' via AI analysis - produces analytical summaries without modifying, deleting, or executing external operations."

## Use case

AI agents call paper_ai_analyze to retrieve information from Scholar MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Scholar MCP Server:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "paper_ai_analyze": {}
  }
}
```

## Other tools on Scholar MCP Server (7)

- `paper_citation_graph` — Read — https://policylayer.com/tools/45645678a-scholar-mcp/paper-citation-graph.md
- `paper_download` — Read — https://policylayer.com/tools/45645678a-scholar-mcp/paper-download.md
- `paper_health` — Read — https://policylayer.com/tools/45645678a-scholar-mcp/paper-health.md
- `paper_recommend` — Read — https://policylayer.com/tools/45645678a-scholar-mcp/paper-recommend.md
- `paper_search` — Read — https://policylayer.com/tools/45645678a-scholar-mcp/paper-search.md
- `paper_translate` — Read — https://policylayer.com/tools/45645678a-scholar-mcp/paper-translate.md
- `paper_batch_download` — Write — https://policylayer.com/tools/45645678a-scholar-mcp/paper-batch-download.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=45645678a-scholar-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/45645678a-scholar-mcp