pagerduty_list_schedules
A read tool on the Integrations MCP server.
This record as markdown: /tools/shriram-vasudevan-integrations-mcp/pagerduty-list-schedules.md
What pagerduty_list_schedules does on Integrations MCP
AI agents call pagerduty_list_schedules to retrieve information from Integrations MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why pagerduty_list_schedules is rated Low
List operations retrieve and enumerate existing data without modification, deletion, or execution of external workflows. PagerDuty schedules are read-only queries. The 'list_' prefix is a strong indicator of Read category. Severity is low because listing schedules discloses scheduling information but does not trigger incidents, modify on-call assignments, or affect service availability.
From the tool's definition Tool name 'pagerduty_list_schedules' indicates a list operation. The name structure matches other Read operations in the sibling tools (airtable_list_bases, airtable_list_records, amplitude_get_event_counts). Description is empty, reducing specificity.
Attacks that exploit this kind of access
The rule that runs pagerduty_list_schedules safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Integrations MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pagerduty_list_schedules, this is the rule to start with:
pagerduty_list_schedules is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Integrations MCP, apply this rule, and every pagerduty_list_schedules call is checked against it from then on.
Questions about pagerduty_list_schedules
pagerduty_list_schedules is a read tool on the Integrations MCP server. It is categorised as a Read tool in the Integrations MCP MCP Server, which means it retrieves data without modifying state.
Register the Integrations MCP server in PolicyLayer and add a rule for pagerduty_list_schedules: 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 Integrations MCP. Nothing to install.
pagerduty_list_schedules 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 pagerduty_list_schedules 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 pagerduty_list_schedules. 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.
pagerduty_list_schedules is provided by the Integrations MCP server (shriram-vasudevan/integrations-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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