generate_summary_context

THE RISK

Low Risk

Why generate_summary_context needs a policy

This tool retrieves paper details and historical sharing examples to assist in writing a summary. It only reads/fetches data and has no side effects on any data store.

From the tool's definition 'Get paper details plus past sharing examples for a given platform. Returns everything needed to write a summary'

Documented attack patterns abuse exactly the kind of access generate_summary_context gives an agent:

POLICY

How to control generate_summary_context

PolicyLayer is an MCP gateway — it sits between your AI agents and Paper Scout MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_summary_context:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_summary_context": {}
  }
}

generate_summary_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Paper Scout MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Paper Scout MCP Server tools

Write record_share Record that a paper was shared on a platform, with the summary used. Feeds back into scori Write update_interest_profile Add or remove items from the interest profile (topics, keywords, tracked labs, or tracked Write update_paper_status Update a candidate paper Read assess_significance Get structured context for assessing a paper Read get_interest_profile Get the current interest profile including topics, keywords, tracked labs, and tracked aut Read get_paper_detail Get full details for a specific paper including all scores, author info, and citation data Read get_pipeline_status Get the status of the ingestion pipeline: last run time, stats, next scheduled run, and an Read get_todays_papers Get today

All 10 Paper Scout MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about generate_summary_context

What does the generate_summary_context tool do? +

Get paper details plus past sharing examples for a given platform. Returns everything needed to write a summary in the user. It is categorised as a Read tool in the Paper Scout MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on generate_summary_context? +

Register the Paper Scout MCP Server MCP server in PolicyLayer and add a rule for generate_summary_context: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Paper Scout MCP Server. Nothing to install.

What risk level is generate_summary_context? +

generate_summary_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit generate_summary_context? +

Yes. Add a rate_limit block to the generate_summary_context rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block generate_summary_context completely? +

Set action: deny in the PolicyLayer policy for generate_summary_context. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides generate_summary_context? +

generate_summary_context is provided by the Paper Scout MCP Server MCP server (jonradoff/paper-scout). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Paper Scout MCP Server tool call.

Start from Paper Scout MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →