list_owners

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

There are no annotations, so the description carries the full burden. It discloses that this is live data and specifies the returned fields, which conveys a read-only listing behavior. However, it does not mention pagination, result limits, or any other operational caveats that could matter for a tool returning 'all' owners.

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?

Two lean sentences with no filler. The primary action and data source are front-loaded, followed by the return fields and concrete usage hints. Every sentence earns its place.

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?

For a zero-parameter, read-only list tool, the description covers purpose, source, fields returned, and use cases. It lacks pagination or scale caveats for 'all' owners, but the absence of an output schema and parameters makes the description largely 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?

The input schema has zero parameters, so the description needs no parameter-level detail. Per the rubric, a zero-parameter tool receives a baseline of 4; the description does not undermine this and instead clarifies the output fields, adding slight value.

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 opens with a specific verb and resource: 'List all property owners from Rentvine (live data)'. It also explicitly names the returned fields (owner name, contact ID, email, phone, address), making it distinguishable from sibling tools like list_properties or list_tenants.

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 provides clear use cases: look up who owns a property or get a contact ID for bill creation. It does not explicitly state when not to use this tool or name alternatives, but the use-case framing gives the agent enough context to select it.

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