Get full metadata for a single paper by ID. Accepts a Semantic Scholar paper ID, or a prefixed ID like "DOI:10.1145/3292500", "arXiv:2106.15928", or "CorpusId:215416146". Returns abstract, TLDR summary, authors, venue, citation/reference counts, fields of study, and open-access PDF. Keyless.
AI agents call get_paper to retrieve information from Mcp Semanticscholar without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
paper_id | string | Yes | Paper identifier. A Semantic Scholar ID, or prefixed: "DOI:10...", "arXiv:2106.15928", "CorpusId:...". |
Parameters from the server's own tool schema.
This tool performs a straightforward read operation against a public academic database. It retrieves metadata and documents without side effects, reversibility concerns, or ability to modify state. The blast radius of misuse is minimal—an agent could spam queries or retrieve sensitive preprints, but cannot damage data or trigger external operations.
From the tool's definition Tool description states it 'Get[s] full metadata for a single paper by ID' and 'Returns abstract, TLDR summary, authors, venue, citation/reference counts, fields of study, and open-access PDF.' The verbs are retrieval-focused (get, returns) with no…
Attacks that exploit this kind of access
Get full metadata for a single paper by ID. Accepts a Semantic Scholar paper ID, or a prefixed ID like "DOI:10.1145/3292500", "arXiv:2106.15928", or "CorpusId:215416146". Returns abstract, TLDR summary, authors, venue, citation/reference counts, fields of study, and open-access PDF. Keyless. It is categorised as a Read tool in the Mcp Semanticscholar MCP Server, which means it retrieves data without modifying state.
get_paper accepts 1 parameter: paper_id. Required: paper_id. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Semanticscholar MCP server in PolicyLayer and add a rule for get_paper: 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 Mcp Semanticscholar. Nothing to install.
get_paper 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 get_paper 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 get_paper. 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.
get_paper is provided by the Mcp Semanticscholar MCP server (https://gateway.pipeworx.io/semanticscholar/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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