find_similar_papers

Find papers similar to a reference paper based on categories and keywords.

SERVERCLIO Adios SOURCEpypi:clio-kit

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/find-similar-papers.md

WHAT IT DOES

What find_similar_papers does on CLIO Adios

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

RISK

Why find_similar_papers is rated Low

This is a read-only tool that retrieves and queries metadata about papers without creating, modifying, deleting, or executing code. It has no side effects and presents minimal risk if misused by an AI agent—worst case being irrelevant search results returned.

From the tool's definition The tool 'find_similar_papers' with description 'Find papers similar to a reference paper based on categories and keywords' performs a search/query operation across existing data to retrieve matching papers.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs find_similar_papers safely

PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For find_similar_papers, this is the rule to start with:

find_similar_papers Allowed

find_similar_papers is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every find_similar_papers call is checked against it from then on.

FAQ

Questions about find_similar_papers

What does the find_similar_papers tool do? +

Find papers similar to a reference paper based on categories and keywords. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_similar_papers? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for find_similar_papers: 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 CLIO Adios. Nothing to install.

What risk level is find_similar_papers? +

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

Can I rate-limit find_similar_papers? +

Yes. Add a rate_limit block to the find_similar_papers 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 find_similar_papers completely? +

Set action: deny in the PolicyLayer policy for find_similar_papers. 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 find_similar_papers? +

find_similar_papers is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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