AI agents call crossref_local_skills_get to retrieve information from Crossref Local without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
No description provided, but the naming convention ('get'), combined with the server's stated purpose of enabling search and analysis of scholarly data without rate limits, indicates this is a read operation that retrieves data from the CrossRef database.
From the tool's definition Tool name 'get' suffix and server description indicating 'search', 'analysis', and 'retrieval' of scholarly works suggest data retrieval without modification.
Documented attack patterns abuse exactly the kind of access crossref_local_skills_get gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crossref Local, and nothing reaches the server without passing your rules. This is the rule we recommend for crossref_local_skills_get:
{
"version": "1",
"default": "deny",
"tools": {
"crossref_local_skills_get": {}
}
}crossref_local_skills_get is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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crossref_local_skills_get. It is categorised as a Read tool in the Crossref Local MCP Server, which means it retrieves data without modifying state.
Register the Crossref Local MCP server in PolicyLayer and add a rule for crossref_local_skills_get: 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 Crossref Local. Nothing to install.
crossref_local_skills_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the crossref_local_skills_get 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.
Set action: deny in the PolicyLayer policy for crossref_local_skills_get. 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.
crossref_local_skills_get is provided by the Crossref Local MCP server (ywatanabe1989/crossref-local). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crossref Local, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 Crossref Local tools catalogued and risk-classified — across an index of 43,000+ MCP servers.