Claims: add|get|update|remove|move|rename|tree.
AI agents use claim to create or update resources in Patentorney — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Patentorney environment.
The tool supports multiple operations on patent claims including add, update, move, rename, and remove. While 'remove' could be considered destructive, patent drafts are typically versioned/recoverable YAML/LaTeX structures, and the tool is a general-purpose claims manager. The dominant use case is write/modification of structured document data.
From the tool's definition Claims: add|get|update|remove|move|rename|tree
Attacks that exploit this kind of access
Claims: add|get|update|remove|move|rename|tree. It is categorised as a Write tool in the Patentorney MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Patentorney MCP server in PolicyLayer and add a rule for claim: 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 Patentorney. Nothing to install.
claim 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 claim 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 claim. 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.
claim is provided by the Patentorney MCP server (retospect/patentorney-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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