Search and filter the PEPTOMA open research feed — the public database of all AI-analyzed peptide sequences. Supports filtering by disease target, minimum bioactivity score, and sorting. Returns paginated results with full analysis data for each sequence.
AI agents call search_feed to retrieve information from Peptoma without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
search_feed performs data retrieval and filtering operations on a public research feed. It supports querying with filters (disease target, bioactivity score, sorting) and returns results. These are characteristic read operations with no side effects—no data is created, modified, deleted, or executed. The low severity reflects that misuse would only expose existing public research data that is already accessible.
From the tool's definition Tool description explicitly states 'Search and filter the PEPTOMA open research feed' and 'Returns paginated results' — core read operations.
Attacks that exploit this kind of access
Search and filter the PEPTOMA open research feed — the public database of all AI-analyzed peptide sequences. Supports filtering by disease target, minimum bioactivity score, and sorting. Returns paginated results with full analysis data for each sequence. It is categorised as a Read tool in the Peptoma MCP Server, which means it retrieves data without modifying state.
Register the Peptoma MCP server in PolicyLayer and add a rule for search_feed: 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 Peptoma. Nothing to install.
search_feed 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 search_feed 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 search_feed. 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.
search_feed is provided by the Peptoma MCP server (peptoma/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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