Low Risk

fillin_query

Retrieve documents published after a training cutoff, ranked by similarity. Call this whenever the user asks about events, releases, papers, issues, or news that might post-date your training data. Fillin only returns documents published AFTER cutoff, so nothing returned is redundant with what th...

Risk signalsAccepts freeform code/query input (query)

Part of the Fillin server.

fillin_query 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 fillin_query to retrieve information from Fillin 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 fillin_query 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": {
    "fillin_query": {}
  }
}

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These attack patterns abuse exactly the kind of access fillin_query gives an agent. Each links to the full case and the policy that stops it:

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

Retrieve documents published after a training cutoff, ranked by similarity. Call this whenever the user asks about events, releases, papers, issues, or news that might post-date your training data. Fillin only returns documents published AFTER cutoff, so nothing returned is redundant with what the model already knows. Args: query: Natural-language search query (e.g. "rust async runtimes"). Max 512 characters. cutoff: ISO-8601 date representing the agent's training cutoff (e.g. "2026-01-01"). Documents on or before this date are excluded from results. k: Number of documents to retrieve, 1-20. Defaults to 5. Returns: A dict with: - cutoff: echoed cutoff (ISO timestamp) - query: echoed query - gap_days: days between cutoff and now - results: list of {id, source, url, published_at, title, text, score}. It is categorised as a Read tool in the Fillin MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fillin_query? +

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

What risk level is fillin_query? +

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

Can I rate-limit fillin_query? +

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

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

fillin_query is provided by the Fillin MCP server (https://fillin.glyphapi.dev/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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