search_icons

Finds appropriate Material Design icons matching keywords that describe their usage, style, or shape.

SERVERMcp SOURCEhttps://design.googleapis.com/mcp

Low RISK CLASS

Category Read

Parameters 21 required

Recommended Allowedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-design-mcp/search-icons.md

WHAT IT DOES

What search_icons does on Mcp

AI agents call search_icons to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`tags`	array	Yes	Required. A list of semantic keywords or metadata tags that describe the desired icon's visual or functional properties. If possible, specify at least three tag
`iconSet`	string	—	Optional. The icon set to search within (e.g., "Material Symbols", "Material Icons"). If omitted, the default icon set of the environment is used.

Parameters from the server's own tool schema.

RISK

Why search_icons is rated Low

This tool retrieves icon data based on keyword matching. It performs a read-only lookup of pre-existing Material Design icons without modifying, executing, or deleting anything. The worst-case misuse would be returning irrelevant icons, which has minimal blast radius. No financial, destructive, or code execution risks present.

From the tool's definition Tool name is 'search_icons' and description states it 'Finds appropriate Material Design icons matching keywords' — a pure query/search operation with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs search_icons safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_icons, this is the rule to start with:

search_icons Allowed

search_icons is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_icons": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every search_icons call is checked against it from then on.

FAQ

Questions about search_icons

What does the search_icons tool do? +

Finds appropriate Material Design icons matching keywords that describe their usage, style, or shape. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does search_icons accept? +

search_icons accepts 2 parameters: tags, iconSet. Required: tags. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on search_icons? +

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

What risk level is search_icons? +

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

Can I rate-limit search_icons? +

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

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

search_icons is provided by the MCP server (https://design.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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