Low Risk

search_assets

Search the Spark AI assets marketplace. Args: query: Search text (matches title and description) type: Filter by asset type (agent, skill, prompt, prompt_chain, mcp_connector, bundle) domain: Filter by domain slug (e.g. 'development', 'marketing') limit: Number of results (1-50, ...

Accepts freeform code/query input (query)

Part of the Spark - AI Assets Marketplace MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

howard-eridani/spark Read Risk 2/5

AI agents call search_assets to retrieve information from Spark - AI Assets Marketplace 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 search_assets 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.

howard-eridani-spark.yaml
tools:
  search_assets:
    rules:
      - action: allow

See the full Spark - AI Assets Marketplace policy for all 5 tools.

Tool Name search_assets
Category Read
Risk Level Low

Agents calling read-class tools like search_assets 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 search_assets tool do? +

Search the Spark AI assets marketplace. Args: query: Search text (matches title and description) type: Filter by asset type (agent, skill, prompt, prompt_chain, mcp_connector, bundle) domain: Filter by domain slug (e.g. 'development', 'marketing') limit: Number of results (1-50, default 10). It is categorised as a Read tool in the Spark - AI Assets Marketplace MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_assets? +

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

What risk level is search_assets? +

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

Can I rate-limit search_assets? +

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

Set action: deny in the Intercept policy for search_assets. 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 search_assets? +

search_assets is provided by the Spark - AI Assets Marketplace MCP server (howard-eridani/spark). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Spark - AI Assets Marketplace

Open source. One binary. Zero dependencies.

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

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