Low Risk

crawler_access_summary

Get the aggregate AI-crawler access map across about 500 curated domains: the percentage of sites that block each AI bot (the publisher-versus-AI-crawler picture), plus llms.txt and ai.txt adoption rates. Unlike a single-site robots.txt checker, this is the cross-domain trend view of who is shutt...

Part of the TensorFeed server.

crawler_access_summary 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 crawler_access_summary to retrieve information from TensorFeed 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 crawler_access_summary 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": {
    "crawler_access_summary": {}
  }
}

See the full TensorFeed policy for all 79 tools.

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

Browse the full MCP Attack Database →

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

Get the aggregate AI-crawler access map across about 500 curated domains: the percentage of sites that block each AI bot (the publisher-versus-AI-crawler picture), plus llms.txt and ai.txt adoption rates. Unlike a single-site robots.txt checker, this is the cross-domain trend view of who is shutting AI crawlers out. Free, no auth.. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on crawler_access_summary? +

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

What risk level is crawler_access_summary? +

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

Can I rate-limit crawler_access_summary? +

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

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

crawler_access_summary is provided by the TensorFeed MCP server (https://mcp.tensorfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TensorFeed tool call.

Deterministic rules across all 79 TensorFeed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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