AI Agents 🚀: Cutting Tool Costs & Security!

MCP: OPTIMIZING AI AGENT TOKEN COSTS
The Okta Model Context Protocol (MCP) tool list offers a strategy to significantly reduce AI agent token costs by proactively filtering tool exposures. This approach addresses the “tool tax,” the tokens consumed by a model when considering available tools, including those never intended for use.

TOOL TAX AND PROMPT OVERHEAD
Okta’s core argument centers on the concept of “tool tax,” representing the tokens a model consumes simply by considering available tools, even if it doesn’t ultimately utilize them. This overhead occurs because each tool exposed via an MCP server includes a schema, name, description, and parameters within the AI agent’s prompt. The company posits that this cost is incurred before an agent attempts a tool call, and a subsequent rejection of an unauthorized request cannot recover these already consumed tokens.

IDENTITY-BASED TOOL SCOPING
To mitigate this “tool tax,” Okta proposes a system of identity-based tool scoping. This involves filtering the list of available tools before it reaches the model, using permissions assigned to an agent’s identity and the associated user. Internal modelling revealed that certain permission scenarios could reduce the number of visible tools by over 90%, directly impacting the tool-schema token cost.

IMPLEMENTATION AND MECHANISMS
Okta’s approach utilizes a layered system for tool control. Initially, administrators configure the tools accessible to a specific identity within the Okta dashboard, resulting in a smaller, scoped tool set delivered to the agent’s prompt. Furthermore, Okta incorporates a runtime scope check before executing a tool call, providing a “least-privilege” access model, ensuring agents only utilize authorized resources.

MODELING AND EVIDENCE
Okta’s claims are substantiated through internal modelling, leveraging OAuth scopes and representative user segments – including helpdesk roles, administrators, and super administrators – weighted by assumed traffic volumes. The model compares the number of tools visible before and after scoping, demonstrating a potential reduction of over 90% in tool counts and token costs. Importantly, Okta emphasizes that actual results are contingent on factors such as the tool catalogue, permission distribution, and the selected model, alongside average schema size, request volume, and model pricing.

DISTINCTION FROM GATEWAY CONTROLS
Okta differentiates its approach from traditional gateway controls, which focus on capping spending by group or team. Instead, identity entitlements provide a more granular control, determining the tools available to a specific agent or the user behind it. Gateways can manage token usage and rate limiting, while identity entitlements dictate tool access at the agent level.

SECURITY IMPLICATIONS & BLAST RADIUS
Beyond cost optimization, Okta’s tool scoping mechanism also enhances security by reducing the potential impact of a compromised agent. Removing unauthorized tools from an agent’s view minimizes the actions that identity could potentially take if it were compromised, creating a smaller “blast radius.” This scope check operates at two key points: during prompt assembly and before tool execution.

CONCLUSION: A SECURE AGENTIC ENTERPRISE
Okta’s MCP strategy positions itself as a core component of its “blueprint for the secure agentic enterprise,” emphasizing the identification of agents, their permitted connections, and authorized actions. By narrowing the connection question from access to a whole MCP server to access to individual tools, Okta offers a refined and efficient solution for controlling AI agent access and minimizing token costs, aligning with broader cybersecurity best practices. ---

OKTA’S ROLE IN THE AI LANDSCAPE
Okta is actively involved in shaping the future of AI, exemplified by its sponsorship of the AI & Big Data Expo Europe, taking place in Amsterdam in October 2026. This event, co-located with other leading technology events, highlights Okta's commitment to driving innovation and knowledge sharing within the AI and big data communities.

FURTHER EXPLORATION OF AI & BIG DATA TRENDS
For those seeking deeper insights into AI and big data, Okta’s resources offer a valuable entry point. Their AI & Big Data Expo Europe provides a platform to connect with industry leaders and explore emerging technologies. Additionally, Okta’s website offers a wealth of information and resources, including details on upcoming events and webinars, further enriching the learning experience.