get_lawyer_profile
Get full profile for a specific lawyer by their Law.AI ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Lawyer ID from Law.AI |
Get full profile for a specific lawyer by their Law.AI ID.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Lawyer ID from Law.AI |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden of behavioral disclosure. It indicates a read-only lookup ('Get') by ID, but does not disclose not-found behavior, authentication needs, or response format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, front-loaded with the verb 'Get' and resource. Every word earns its place; there is no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple: one parameter, no nested objects, and no output schema. 'Get full profile' gives adequate return context. It could be more specific about profile fields, but for a simple getter this is sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the parameter is well-described as 'Lawyer ID from Law.AI.' The description reinforces this but adds no additional constraints or context beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses specific verb 'Get' and clearly identifies the resource: 'full profile for a specific lawyer by their Law.AI ID.' This distinguishes it from sibling tools like search_lawyers and find_lawyer_by_name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool (when you have a Law.AI ID), but it does not explicitly mention alternatives or exclusions. Sibling tool names suggest alternatives, but the description itself lacks direct guidance.
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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