Low Risk

browse_apps

Browse apps A-Z by starting letter. Use letter='#' for apps starting with digits or symbols. Useful for alphabetical discovery rather than search.

Part of the HyperStore server.

browse_apps is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call browse_apps to retrieve information from HyperStore without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though browse_apps only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "browse_apps": {}
  }
}

See the full HyperStore policy for all 8 tools.

Get this rule live on your own HyperStore server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access browse_apps gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so browse_apps only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the browse_apps tool do? +

Browse apps A-Z by starting letter. Use letter='#' for apps starting with digits or symbols. Useful for alphabetical discovery rather than search.. It is categorised as a Read tool in the HyperStore MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on browse_apps? +

Register the HyperStore MCP server in PolicyLayer and add a rule for browse_apps: 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 HyperStore. Nothing to install.

What risk level is browse_apps? +

browse_apps is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit browse_apps? +

Yes. Add a rate_limit block to the browse_apps 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.

How do I block browse_apps completely? +

Set action: deny in the PolicyLayer policy for browse_apps. 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.

What MCP server provides browse_apps? +

browse_apps is provided by the HyperStore MCP server (pypi:hyperstore-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every HyperStore tool call.

Deterministic rules across all 8 HyperStore tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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