Low Risk

fetch_markdown

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: ...

Accepts URL/endpoint input (url)

Part of the SteadyFetch MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

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.

steadyfetch.yaml
tools:
  fetch_markdown:
    rules:
      - action: allow

See the full SteadyFetch policy for all 5 tools.

Tool Name fetch_markdown
Category Read
Risk Level Low

Agents calling read-class tools like fetch_markdown have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the fetch_markdown tool do? +

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.

How do I enforce a policy on fetch_markdown? +

Add a rule in your Intercept YAML policy under the tools section for fetch_markdown. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the SteadyFetch MCP server.

What risk level is fetch_markdown? +

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

Can I rate-limit fetch_markdown? +

Yes. Add a rate_limit block to the fetch_markdown rule in your Intercept 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 fetch_markdown completely? +

Set action: deny in the Intercept 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.

What MCP server provides fetch_markdown? +

fetch_markdown is provided by the SteadyFetch MCP server (steadyfetch). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on SteadyFetch

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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