List recent manifests for replay or retargeting.
AI agents call list_manifests to retrieve information from Academic Figures without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns a list of existing manifests without creating, modifying, deleting, or executing any operations. It is a straightforward data retrieval operation with no destructive, financial, or executable consequences.
From the tool's definition Tool name 'list_manifests' and description 'List recent manifests for replay or retargeting' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
List recent manifests for replay or retargeting. It is categorised as a Read tool in the Academic Figures MCP Server, which means it retrieves data without modifying state.
Register the Academic Figures MCP server in PolicyLayer and add a rule for list_manifests: 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 Academic Figures. Nothing to install.
list_manifests 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 list_manifests 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 list_manifests. 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.
list_manifests is provided by the Academic Figures MCP server (u9401066/academic-figures-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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