Low Risk

memory_get_space

Get detailed information about a specific space including its full summary. USE THIS TOOL: When working on a project to get comprehensive context about that project. The summary contains consolidated knowledge about the space topic. HOW TO USE: Provide either spaceName (like 'core', 'GitHub', 'Pr...

Part of the Core server.

memory_get_space 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 memory_get_space to retrieve information from Core 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 memory_get_space 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": {
    "memory_get_space": {}
  }
}

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Get this rule live on your own Core 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 memory_get_space gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so memory_get_space 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 memory_get_space tool do? +

Get detailed information about a specific space including its full summary. USE THIS TOOL: When working on a project to get comprehensive context about that project. The summary contains consolidated knowledge about the space topic. HOW TO USE: Provide either spaceName (like 'core', 'GitHub', 'Profile') OR spaceId (UUID). Returns: Space details with full summary, description, and metadata.. It is categorised as a Read tool in the Core MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_get_space? +

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

What risk level is memory_get_space? +

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

Can I rate-limit memory_get_space? +

Yes. Add a rate_limit block to the memory_get_space 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 memory_get_space completely? +

Set action: deny in the PolicyLayer policy for memory_get_space. 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 memory_get_space? +

memory_get_space is provided by the Core MCP server (@transcend-io/mcp-server-core). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Core tool call.

Deterministic rules across all 9 Core tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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