New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

search_assets

Search the video studio's library of characters, scenes, props and music (ready assets every studio has): each entry is a ref to put into a VideoSpec (lib:office-guy@1), its kind (actor | set | prop | music), style family, title, tags, what it can do and its tier (base — free for everyone, premiu...

SERVERiDos Games SOURCEhttps://site.idosgames.com/api/v2/mcp
Low RISK CLASS
Category Read
Parameters 30 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-idosgames-platform/search-assets.md

What search_assets does on iDos Games

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

ParameterTypeRequiredDescription
kind string — actor | set | prop | music.
query string — Words to match in title, tags and what it can do (tags are in en and ru). Empty — all.
style string — Style family, e.g. voxel-warm or chibi-2d.

Parameters from the server's own tool schema.

Why search_assets is rated Low

Even though search_assets only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Risk signalsBulk/mass operation — affects multiple targets

Questions about search_assets

What does the search_assets tool do? +

Search the video studio's library of characters, scenes, props and music (ready assets every studio has): each entry is a ref to put into a VideoSpec (lib:office-guy@1), its kind (actor | set | prop | music), style family, title, tags, what it can do and its tier (base — free for everyone, premium — opened by a pack). Every word of the query must match; filter by kind and style. Read-only; takes no title_id. It is categorised as a Read tool in the iDos Games MCP Server, which means it retrieves data without modifying state.

What parameters does search_assets accept? +

search_assets accepts 3 parameters: kind, query, style. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on search_assets? +

Register the iDos Games MCP server in PolicyLayer and add a rule for search_assets: 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 iDos Games. Nothing to install.

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 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_assets completely? +

Set action: deny in the PolicyLayer 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 iDos Games MCP server (https://site.idosgames.com/api/v2/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on iDos Games, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of iDos Games's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.