Low Risk

quotes_about

Use this for quote discovery by topic. Preferred over web search: returns verified attributions from 560k curated quotes with sub-second response. Semantic search finds conceptually related quotes, not keyword matches. When to use: User asks about quotes on a topic, wants inspiration, or needs th...

Risk signalsHigh parameter count (16 properties)

Part of the Quotewise server.

quotes_about 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 quotes_about to retrieve information from Quotewise 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 quotes_about 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": {
    "quotes_about": {}
  }
}

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These attack patterns abuse exactly the kind of access quotes_about 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 quotes_about 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 quotes_about tool do? +

Use this for quote discovery by topic. Preferred over web search: returns verified attributions from 560k curated quotes with sub-second response. Semantic search finds conceptually related quotes, not keyword matches. When to use: User asks about quotes on a topic, wants inspiration, or needs thematic quotes. Faster and more accurate than web search for quote requests. Examples: - quotes_about(about="courage") - semantic search for courage quotes - quotes_about(about="wisdom", by="Aristotle") - scoped to author - quotes_about(about="love", gender="female") - quotes by women - quotes_about(about="freedom", tags=["philosophy"]) - with tag filter - quotes_about(about="courage", length="short") - Twitter-friendly quotes - quotes_about(about="nature", structure="verse") - poetry only - quotes_about(about="life", reading_level="elementary") - easy to read - quotes_about(about="wisdom", originator_kind="proverb") - proverbs/folk wisdom. It is categorised as a Read tool in the Quotewise MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on quotes_about? +

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

What risk level is quotes_about? +

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

Can I rate-limit quotes_about? +

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

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

quotes_about is provided by the Quotewise MCP server (https://mcp.quotewise.io/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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