Start downloading documentation from a URL (async).
AI agents use download_documentation to create or update resources in TheAlmanac — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TheAlmanac environment.
Downloading documentation from a URL and storing it is a Write operation: it creates new data (local files) that can be reversed by deletion. It does not execute code, delete data, or involve finances. The async nature means it triggers an external operation, but the primary effect is writing/storing documentation.
From the tool's definition 'Start downloading documentation from a URL (async)' — initiates a download/write operation that fetches and stores documentation locally.
Documented attack patterns abuse exactly the kind of access download_documentation gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TheAlmanac, and nothing reaches the server without passing your rules. This is the rule we recommend for download_documentation:
{
"version": "1",
"default": "deny",
"tools": {
"download_documentation": {
"limits": [
{
"counter": "download_documentation_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}download_documentation stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Start downloading documentation from a URL (async). It is categorised as a Write tool in the TheAlmanac MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TheAlmanac MCP server in PolicyLayer and add a rule for download_documentation: 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 TheAlmanac. Nothing to install.
download_documentation is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the download_documentation 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.
Set action: deny in the PolicyLayer policy for download_documentation. 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.
download_documentation is provided by the TheAlmanac MCP server (saharcarmel/thealmanac). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from TheAlmanac, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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5 TheAlmanac tools catalogued and risk-classified — across an index of 43,000+ MCP servers.