// SCAN REPORT

Teachermall

9 tools. 4 can modify or destroy data without limits.

1 destructive tool with no built-in limits. Policy required.

Last updated: 2 Jul 2026

4 can modify or destroy data

5 read-only

9 tools total

Community server · catalogue entry verified 02/07/2026

How to control Teachermall ↓

TOOL MAP

What Teachermall exposes to your agents

Read (5) Write / Execute (3) Destructive / Financial (1)

Running more than one server? Check your whole stack →

MOST DANGEROUS TOOLS

Critical Risk

The most dangerous Teachermall tools

Destructive · Medium clear_cache The name 'clear_cache' suggests it irreversibly deletes cached data. Execute · Medium build_classroom_kit build_classroom_kit Write · Medium create_shopping_list_from_text The tool name and position within a teachermall shopping context strongly suggest it creates or persists a shopping list, which is reversible data modification (Write). Write · Medium generate_semester_preparation_list generate_semester_preparation_list

4 of Teachermall's 9 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

POLICY

How to control Teachermall

PolicyLayer is an MCP gateway — it sits between your AI agents and Teachermall, and nothing reaches the server without passing your rules. These are the rules we recommend:

Deny destructive operations

{
  "clear_cache": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations

{
  "create_shopping_list_from_text": {
    "limits": [
      {
        "counter": "create_shopping_list_from_text_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations

{
  "get_best_sellers": {
    "limits": [
      {
        "counter": "get_best_sellers_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register Teachermall — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON TEACHERMALL →

Instant setup, no code required.

FULL CATALOGUE

All 9 Teachermall tools

DESTRUCTIVE 1 tools

Destructive clear_cache clear_cache

EXECUTE 1 tools

Execute build_classroom_kit build_classroom_kit

WRITE 2 tools

Write create_shopping_list_from_text create_shopping_list_from_text Write generate_semester_preparation_list generate_semester_preparation_list

READ 5 tools

Read get_best_sellers get_best_sellers Read get_product_details get_product_details Read optimize_within_budget optimize_within_budget Read recommend_for_lesson recommend_for_lesson Read search_products search_products

EXPLORE

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

FAQ

Questions about Teachermall

Can an AI agent delete data through the Teachermall MCP server? +

Yes. The Teachermall server exposes 1 destructive tools including clear_cache. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through Teachermall? +

The Teachermall server has 2 write tools including create_shopping_list_from_text, generate_semester_preparation_list. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach Teachermall.

How many tools does the Teachermall MCP server expose? +

9 tools across 4 categories: Destructive, Execute, Read, Write. 5 are read-only. 4 can modify, create, or delete data.

How do I enforce a policy on Teachermall? +

Register the Teachermall MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Teachermall tool call.

Deterministic rules across all 9 Teachermall tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON TEACHERMALL →

Instant setup, no code required.

9 Teachermall tools catalogued and risk-classified — across an index of 43,000+ MCP servers.