Evaluate a leaf tile (concrete idea/project) on impact, feasibility, and uniqueness (1-10). Scores are clamped to 1-10. Merges with existing evaluation (only provided fields are updated).
AI agents use evaluate_tile to create or update resources in Tiling Trees MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tiling Trees MCP Server environment.
This tool writes/updates evaluation scores on a tile node. It modifies existing data (merges with existing evaluation) but does so reversibly — scores can be overwritten again. No code execution, deletion, or financial action is involved. Severity is low because the blast radius of misuse is limited to updating numeric scores on research organization nodes.
From the tool's definition Evaluate a leaf tile...Scores are clamped to 1-10. Merges with existing evaluation (only provided fields are updated).
Attacks that exploit this kind of access
Evaluate a leaf tile (concrete idea/project) on impact, feasibility, and uniqueness (1-10). Scores are clamped to 1-10. Merges with existing evaluation (only provided fields are updated). It is categorised as a Write tool in the Tiling Trees MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tiling Trees MCP Server MCP server in PolicyLayer and add a rule for evaluate_tile: 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 Tiling Trees MCP Server. Nothing to install.
evaluate_tile 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 evaluate_tile 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 evaluate_tile. 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.
evaluate_tile is provided by the Tiling Trees MCP Server MCP server (k-chrispens/tiling-trees-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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