AI agents use math_explainer to create or update resources in Scientific Paper Reading Assistant — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Scientific Paper Reading Assistant environment.
The math_explainer tool performs formula extraction and AST construction (analysis tasks), but critically includes storing derived relationships in a database. This is a Write operation as it creates/modifies persistent data. It is not Destructive (no deletion/overwriting mentioned), not Execute (no arbitrary code/command execution), and not Financial.
From the tool's definition Tool description states 'extract formulas, build AST, derive relationships and store in database' — the storage/persistence component ('存入数据库' = 'store in database') indicates data modification.
Documented attack patterns abuse exactly the kind of access math_explainer gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Scientific Paper Reading Assistant, and nothing reaches the server without passing your rules. This is the rule we recommend for math_explainer:
{
"version": "1",
"default": "deny",
"tools": {
"math_explainer": {
"limits": [
{
"counter": "math_explainer_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}math_explainer stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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深度数学智能：提取公式、构建 AST、推导关系并存入数据库. It is categorised as a Write tool in the Scientific Paper Reading Assistant MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Scientific Paper Reading Assistant MCP server in PolicyLayer and add a rule for math_explainer: 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 Scientific Paper Reading Assistant. Nothing to install.
math_explainer is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the math_explainer 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.
Set action: deny in the PolicyLayer policy for math_explainer. 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.
math_explainer is provided by the Scientific Paper Reading Assistant MCP server (lxy-hqu/-mcp-for-paper-read-based-on-ai-ide). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Scientific Paper Reading Assistant, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
7 Scientific Paper Reading Assistant tools catalogued and risk-classified — across an index of 43,000+ MCP servers.