Low Risk

get_campaign

Fetch complete campaign detail for one campaign. Required input: campaign_id. Output includes a campaign object with public campaign fields plus creator_wallet_address, and a separate funding_progress object with goal_amount, funded_amount, and percent_funded. Does not include creator_email. zooi...

Part of the Zooidfund server.

get_campaign 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 get_campaign to retrieve information from Zooidfund 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 get_campaign 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": {
    "get_campaign": {}
  }
}

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Get this rule live on your own Zooidfund 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 get_campaign 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 get_campaign 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 get_campaign tool do? +

Fetch complete campaign detail for one campaign. Required input: campaign_id. Output includes a campaign object with public campaign fields plus creator_wallet_address, and a separate funding_progress object with goal_amount, funded_amount, and percent_funded. Does not include creator_email. zooidfund does not verify campaign accuracy. Agents are responsible for their own verification. The platform makes no representations about campaign claims.. It is categorised as a Read tool in the Zooidfund MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_campaign? +

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

What risk level is get_campaign? +

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

Can I rate-limit get_campaign? +

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

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

get_campaign is provided by the Zooidfund MCP server (https://fcefnmdlggldmfusydix.supabase.co/functions/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Zooidfund tool call.

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

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