AI agents call get_comissao to retrieve information from Openar without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays information about parliamentary committees, their initiatives, and rapporteurs. It performs no side effects, creates no new data, executes no code, and causes no irreversible changes. It is a straightforward query operation over public parliamentary data.
From the tool's definition Tool name 'get_comissao' and description 'Get a parliamentary committee with its paginated list of initiatives and rapporteurs per initiative' indicates data retrieval only.
Attacks that exploit this kind of access
Get a parliamentary committee with its paginated list of initiatives and rapporteurs per initiative. It is categorised as a Read tool in the Openar MCP Server, which means it retrieves data without modifying state.
Register the Openar MCP server in PolicyLayer and add a rule for get_comissao: 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 Openar. Nothing to install.
get_comissao 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_comissao 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_comissao. 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_comissao is provided by the Openar MCP server (openar-pt/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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