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nate-raubenheimer

LawPracticeZA MCP

lpza_create_transfer

Creates buyer and seller matters for a conveyancing transfer, using client IDs, matter details, and fee earners to build a matterset.

Instructions

Create buyer and seller matters for a conveyancing transfer via matterset.createtransfer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
matterset_nameYesReference or ID for the whole transfer transaction.
buyer_customer_idYesExisting buyer client ID.
buyer_matter_codeYesMatter code for the buyer side.
buyer_matter_nameYesMatter name for the buyer side.
seller_customer_idYesExisting seller client ID.
seller_matter_codeYesMatter code for the seller side.
seller_matter_nameYesMatter name for the seller side.
buyer_owner_salesagent_idYesFee earner ID for the buyer matter.
seller_owner_salesagent_idYesFee earner ID for the seller matter.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It only says 'create' without disclosing side effects, whether the operation is atomic, prerequisite requirements, or return values. For a mutation tool, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that conveys purpose and method without unnecessary words. It is well-structured and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 9 required parameters and no output schema or annotations, the description should explain the overall workflow, expected outcomes, or error handling. It only gives a bare statement of action, leaving the agent without enough context to anticipate behavior beyond parameter definitions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with each parameter having a basic description. The tool description adds little beyond referencing the underlying method. Baseline 3 is appropriate because the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates buyer and seller matters for a conveyancing transfer, using the specific 'matterset.createtransfer' operation. This distinguishes it from siblings like lpza_create_matter and lpza_create_client.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context that this tool is for conveyancing transfers, implying when to use it. However, it does not explicitly mention alternatives or exclusions (e.g., when to use lpza_create_matter separately), so it stops short of a full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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