Fetch a URL and return clean markdown text optimized for LLM consumption. Same reliability as fetch_url but returns only the markdown content, stripping HTML, scripts, and noise. Best for when you need the page content for analysis, summarization, or data extraction. Args: url: The URL to fetch u...
Risk signalsAccepts URL/endpoint input (url)
Part of the SteadyFetch server.
Free to start. No card required.
AI agents call fetch_markdown to retrieve information from SteadyFetch 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 fetch_markdown 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.
{
"version": "1",
"default": "deny",
"tools": {
"fetch_markdown": {}
}
}See the full SteadyFetch policy for all 5 tools.
These attack patterns abuse exactly the kind of access fetch_markdown gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Fetch a URL and return clean markdown text optimized for LLM consumption. Same reliability as fetch_url but returns only the markdown content, stripping HTML, scripts, and noise. Best for when you need the page content for analysis, summarization, or data extraction. Args: url: The URL to fetch use_cache: Whether to use cached results (default: true) wait_for: CSS selector to wait for before capturing. It is categorised as a Read tool in the SteadyFetch MCP Server, which means it retrieves data without modifying state.
Register the SteadyFetch MCP server in PolicyLayer and add a rule for fetch_markdown: 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 SteadyFetch. Nothing to install.
fetch_markdown is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the fetch_markdown 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 fetch_markdown. 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.
fetch_markdown is provided by the SteadyFetch MCP server (pypi:steadyfetch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 SteadyFetch tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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