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To keep an AI agent from responding to every message—or seeing more conversation than necessary—set boundaries in four places: its response trigger, the messages and conversations it can access, the actions it can take, and what group members are told. A mention-only rule is not, by itself, proof that the agent cannot receive other messages. Check the platform’s event and permission settings, the app’s own behavior, and the bot’s role.
What boundaries should you set?
A useful policy separates four questions that are easy to confuse:
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- When may it respond? Require an explicit mention or command where available.
- What can it receive or retrieve? Limit app scopes and conversation membership, and check which message events reach it.
- What may it do? Distinguish answering and drafting from sending messages, editing records, deleting content, or taking other consequential actions.
- What do people know? Tell group members that it is automated, what triggers it, what context it can access, and how to reach the person responsible for its setup.
These are separate controls. An agent can be programmed to answer only when mentioned while still receiving broader message events; conversely, an agent may have access only to a specific conversation but respond to more than one kind of event. Verify both access and response behavior.
How do you set the boundaries?
- Write the operating rule. For example: “This agent answers only when mentioned. It can read messages delivered to it in this channel. It may draft suggestions but cannot send external messages or change records without approval.” Adapt the wording to the actual platform configuration; a written rule does not enforce itself.
- Choose the narrowest trigger. Prefer a mention or command if the platform and app support it. Check which events the app is subscribed to and how its code responds to them. A platform delivering an event and the agent choosing to answer are different things.
- Limit conversation access. Review the app’s requested scopes and add it only to the channels or groups where it is needed. Check the platform’s content permissions and any admin or group role that could widen access.
- Limit action authority. Decide whether the agent may answer, draft, send, edit, delete, or execute actions through connected tools. Keep consequential or bulk work behind a human review step, and give people a way to inspect what it did.
- Explain the boundary to the group. Say what triggers the agent, whether it receives only addressed messages or broader context, who can see its replies, and who administers its settings. Do not promise that information is private from the platform or app developer unless the app’s current terms support that claim.
- Recheck after configuration changes. Revisit access and behavior if the app is added to a new conversation, promoted to an admin role, updated, or granted new scopes or tools.
How Slack handles agent access and mentions
Slack’s documentation distinguishes starting an interaction from granting conversation access. Members can add agents to channels and mention them to start channel interactions. App access depends on its scopes; Slack says an app has access by default to messages with the app, while adding it to a conversation grants access to data in that conversation. Workspace owners and admins can enable app approval. Review the app’s requested permissions and its membership in each conversation rather than assuming that a mention rule limits what it can access. See Slack’s app approval guidance.
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Slack’s developer documentation says an agent should not read, access, or use information that the invoking user could not access. It also recommends making an agent’s automated identity clear and providing a review surface for autonomous or bulk actions. These are design recommendations, not a guarantee that every third-party Slack app follows them. See Slack’s agent design guidance.
For developers, Slack’s Data Access API documentation describes message and mention events; a mention determines whether an action_token is included in the event payload. That detail does not establish how a deployed agent behaves. Check the app’s subscribed events and its server-side response logic. See Slack’s Data Access API documentation.
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Do not extend protections for Slack’s own AI features to unrelated third-party apps. Slack says its native AI features use data members can access at the time of a request and do not display or use data from private channels or direct messages the member cannot access. Slack separately advises admins to examine third-party app scopes and data practices. See Slack’s security information.
For the ChatGPT Agents App in Slack specifically, OpenAI says it respects Slack’s existing permissions, so only messages and files already accessible to the user are searchable. OpenAI also notes that Enterprise admins may use the compliance API to access conversations synced to a ChatGPT account from the app. This statement applies to that product and includes the stated administrator qualification; it should not be generalized to other Slack apps. See OpenAI’s ChatGPT Agents App in Slack help page.
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How Telegram group privacy mode works
Telegram’s Bot Features documentation says privacy mode is enabled by default for bots, with an important exception: bots added to a group as administrators always receive all messages. Check both the BotFather privacy-mode setting and the bot’s effective group role. A default setting alone does not establish the bot’s current access. See Telegram’s Bot Features documentation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What to check on other platforms
Do not assume that Slack’s scopes or Telegram’s privacy mode have direct equivalents elsewhere. Use the platform’s official documentation and the specific app’s settings to check:
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- Which message events are delivered to the bot, and whether message-content access must be enabled.
- What permissions or scopes the app has, and which conversations it has joined.
- Whether its group or channel role grants broader access.
- Whether the agent’s own trigger logic responds only to mentions or commands.
- Whether connected tools let it change data, contact people, or act outside the chat.
Evaluate platform-level protections and app-level access separately. A platform’s privacy statement does not, on its own, establish how an independent app stores, processes, or shares data.
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Make the policy visible and testable
Put the agent’s identity, purpose, trigger, access boundary, action limits, and escalation route somewhere group members can find them. Then verify the live configuration: test whether an unaddressed message produces a response, inspect the app’s permissions and conversation membership, and confirm that restricted actions require the intended review. A test of response behavior alone does not prove that the app cannot receive other messages.
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