assemble_context

SERVERAdia Ai SOURCE@adia-ai/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/adia-ai-mcp/assemble-context.md

WHAT IT DOES

What assemble_context does on Adia Ai

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

RISK

Why assemble_context is rated Low

Even though assemble_context 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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs assemble_context safely

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

assemble_context Allowed

assemble_context 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": {
    "assemble_context": {}
  }
}

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

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

FAQ

Questions about assemble_context

What does the assemble_context tool do? +

Assemble progressive-disclosure context for a given intent and budget tier. Returns domain-relevant components, matching patterns, and anti-patterns. Tier 0: domain only. Tier 1: components. Tier 2: +patterns. Tier 3: +anti-patterns. Tier 4: full catalog. Use this when you want to manually compose A2UI output rather than using generate_ui. The returned context gives you the building blocks. It is categorised as a Read tool in the Adia Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on assemble_context? +

Register the Adia Ai MCP server in PolicyLayer and add a rule for assemble_context: 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 Adia Ai. Nothing to install.

What risk level is assemble_context? +

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

Can I rate-limit assemble_context? +

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

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

assemble_context is provided by the Adia Ai MCP server (@adia-ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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