Limit an AI agent by enforcing permissions in the application and runtime—not by relying on its system prompt. Give it only the tools, records, network destinations, and action scopes its task needs; isolate its execution; and require explicit approval for consequential operations. If the model is misled by untrusted content, these controls limit what it can actually do.
Start by listing what the agent can do
Before granting access, inventory every capability available to the agent and the effects it can have. Include indirect access: a tool that runs code may also expose files, credentials, or network connections available to its environment.
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- Data access: Which records, documents, files, or databases can it read?
- Changes: Can it create, edit, delete, approve, or publish anything?
- External communication: Can it send email, post content, call APIs, or contact arbitrary destinations?
- Execution and administration: Can it run code, use a shell, change configuration, or manage accounts?
- High-impact operations: Can it move money, expose sensitive information, or make an irreversible change?
Assess each tool’s functionality, access patterns, reliability, and operating environment. NIST’s article Lessons Learned from the Consortium: Tool Use in Agent Systems (August 5, 2025) frames constraints in relation to both tool permissions and the action environment.
How do I limit an AI agent’s tool permissions?
Grant tools for a task, not for convenience
Start with the specific task and add only the capabilities needed to complete it. An agent summarizing support tickets may need to read a defined set of tickets, but not send email, change account settings, or run arbitrary code. Avoid giving one general-purpose agent broad shell, email, database, and administrative access by default.
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OWASP recommends minimizing the tools an agent can use and scoping permissions by tool and resource. In practice, that means separating tools and credentials by workflow or trust boundary rather than bundling unrelated powers into one broad permission.
Separate reading from writing
Make read and write permissions distinct. If the task only requires searching or summarizing, give the agent read-only access. If it must make changes, constrain the write capability to the necessary operation and resources. NIST’s tool-use framing distinguishes read-only, constrained-write, and write patterns, alongside factors such as whether the environment is trusted and whether an action is reversible.
| Permission pattern | What it allows | When it fits |
|---|---|---|
| Read-only | Retrieve or inspect permitted data without changing it. | Research, search, summarization, or review tasks that do not require updates. |
| Constrained write | Make limited changes within an explicitly defined operation or resource scope. | Tasks that require a specific update but should not have broad write access. |
| Write | Make changes within the granted scope. | Only when the task requires it and the surrounding authorization checks match the impact. |
Scope the resources, not just the tool name
A “database access” permission is not a useful boundary if it exposes every record. Limit access to the records, folders, projects, or accounts needed for the task. Where practical, give separate agent workflows separate scopes rather than letting one agent carry permissions across unrelated work.
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Expose only task-relevant information
Choose what the agent can retrieve before it begins. Restrict the data source or query scope to the relevant resources, and avoid placing unrelated sensitive data in the agent’s context or execution environment. A narrow tool interface is safer than giving the agent broad access and asking it to ignore information it does not need.
Treat retrieved content as untrusted
Web pages, documents, messages, and other external content can contain instructions intended to redirect an agent. Treat that content as data, not as authority to change the task, expand permissions, or override application policy. Prompt-injection defenses are an evolving area; access limits and application-side authorization checks help constrain consequences if the model is manipulated.
Do not let text found in a retrieved document authorize a tool call. The application should independently validate the requested operation, target, and scope against the permissions granted for the task.
Establish the agent’s identity and authority
Track who delegated the task
Represent the agent as a distinct actor and record which user or service delegated its task, what scope was delegated, and which policy authorizes each operation. A model’s statement that it has permission is not proof of authority; the system executing the tool call must check authorization.
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Put policy checks in the application or infrastructure layer that mediates tool execution. Check the actual tool, requested operation, target resource, and delegated scope before the action runs. NIST’s agent identity and authorization work is exploring questions such as least privilege, delegated authority, dynamic authorization, human authorization, and auditing. It is an active project area, not a finalized universal standard.
Isolate execution, credentials, and network access
Run code in a constrained environment
If an agent can execute code, run it in a separate, constrained environment rather than exposing the host’s full set of files and capabilities. Mount only files needed for the task and limit what the runtime can reach. OpenAI’s API guidance recommends isolated compute and approved outbound destinations; this is an implementation example, not a universal product requirement.
Keep credentials out of ambient reach
Do not expose general-purpose credentials merely because code or a tool might need them. Keep secrets within an appropriately controlled credential boundary and grant them only to the component that needs them, with the narrowest relevant scope. Separate credentials for distinct workflows so that access for one task does not silently confer authority over another.
Restrict outbound connections
Allow network access only to destinations required for the task. Code can use whatever files, credentials, and network access its environment makes available, so a prompt instruction not to contact a destination is not a substitute for an outbound network restriction.
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Define high-impact actions in policy
Set approval requirements in application policy, not only in instructions to the model. Examples that may warrant review include destructive changes, external publication or transmission, and other high-impact operations. The approval decision should depend on the operation’s target, scope, impact, and reversibility—not simply on which tool was called.
Make approval specific to the operation
Before execution, validate the proposed operation and present the relevant action and target to the approver. Pause until explicit approval when policy requires it. A broad approval such as “let the agent continue” is less meaningful than approval tied to a concrete change or transmission.
Keep routine permissions narrow so that approval is reserved for actions that merit attention. OWASP and OpenAI describe human review for consequential or ambiguous actions; NIST’s identity discussion also cautions that excessive prompts can cause consent fatigue.
Build a permission design that matches the risk
Use the following checks for each tool-action combination. A permission should be evaluated in context: a reversible change in a controlled environment differs from an irreversible action affecting an external system.
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| Question | Safer design consideration |
|---|---|
| Is access read-only or does it change state? | Prefer read-only access when possible; constrain writes to the required operation. |
| Which resources are in scope? | Limit the tool to the records or targets needed for the task. |
| Are the inputs and environment trusted? | Assume external content may be untrusted; rely on runtime checks rather than its instructions. |
| How reversible and consequential is the action? | Use stronger validation and approval for actions with greater impact or limited reversibility. |
| Does the operation need human approval? | Define that boundary in application policy and tie approval to the specific action. |
| What can the execution environment reach? | Limit exposed files, credentials, and outbound network destinations to what the task needs. |
Monitor actions and preserve an audit trail
Record enough information to determine which agent acted, under whose authority, which tool it used, and what target it affected. Include the authorization decision and any required human approval. NIST’s agent identity work identifies auditability and non-repudiation as design considerations. Monitoring does not replace permission enforcement, but it makes actions reviewable and helps identify where a scope or policy needs adjustment.
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