AI agents call screen_bonds to retrieve information from Wrds without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description, the tool name and context strongly indicate this retrieves or filters bond data from the WRDS financial database. It matches the 'Read' category pattern of the sibling tools.
From the tool's definition Tool name 'screen_bonds' combined with sibling tools that all perform data retrieval operations (get_bond_covenants, get_bond_price_history, get_bond_returns, etc.) and server description stating it 'enables users to query' financial data.
Attacks that exploit this kind of access
screen_bonds. It is categorised as a Read tool in the Wrds MCP Server, which means it retrieves data without modifying state.
Register the Wrds MCP server in PolicyLayer and add a rule for screen_bonds: 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 Wrds. Nothing to install.
screen_bonds 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 screen_bonds 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 screen_bonds. 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.
screen_bonds is provided by the Wrds MCP server (marianosalinas/wrds_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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