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rental_add_tenant

Add new tenants to rental property management systems by entering tenant ID, name, contact information, credit score, and employment details for financial tracking and reporting.

Instructions

Add a new tenant to the system

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tenantIdYes
nameYes
contactInfoYes
creditScoreNo
employmentInfoNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Add a new tenant' which implies a write/mutation operation, but it doesn't mention permissions required, whether the operation is idempotent, error handling, or what happens on success/failure. This is inadequate for a tool that likely modifies system state.

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, clear sentence with no wasted words. It's front-loaded with the core action and resource, making it efficient and easy to parse. Every word earns its place by directly conveying the tool's purpose.

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?

Given the complexity (5 parameters with nested objects, no output schema, and no annotations), the description is insufficient. It covers the basic purpose but lacks parameter details, behavioral context, usage guidelines, and output information. For a mutation tool with multiple parameters, this leaves significant gaps for an AI agent to operate effectively.

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

Parameters1/5

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

Schema description coverage is 0%, meaning none of the 5 parameters (tenantId, name, contactInfo, creditScore, employmentInfo) are documented in the schema. The description adds no parameter information whatsoever—it doesn't explain what these fields represent, their formats, or constraints. This leaves all parameters semantically undefined.

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

Purpose4/5

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

The description clearly states the action ('Add') and resource ('a new tenant to the system'), making the tool's purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'rental_add_lease' or 'rental_add_property', which would require specifying that this is specifically about tenant records rather than other rental-related entities.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. There are no mentions of prerequisites, conditions, or comparisons to sibling tools (e.g., 'rental_add_lease' or 'rental_add_property'), leaving the agent with no contextual usage information beyond the basic purpose.

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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