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

The readOnlyHint annotation already establishes this is a safe read. The description adds that results span the whole company and includes sensitive fields like hourly rate, plus the Paymo endpoint, but says nothing about truncation behavior (which the schema covers) or response shape.

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?

A single compact sentence that front-loads scope and follows with the returned fields; no filler. The field parenthetical is dense but earns its place given there is no output schema.

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?

With no output schema, the description compensates by listing the fields returned, which is the key missing piece. Filtering semantics live in the schema, so a complete tool call is achievable from the combined definition.

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%, so all four parameters are already fully documented in the schema with defaults, limits, and operator syntax. The parenthetical in the description describes output fields rather than parameter meaning, so it adds little beyond the baseline.

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?

States a clear verb+resource ('List users') plus the scope ('in the company') and enumerates the returned fields, so an agent knows exactly what it gets. It does not explicitly differentiate itself from the many sibling list_* tools, but the name plus field list makes the subject unambiguous.

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?

No when-to-use guidance, no alternatives, and no mention of how to combine the optional filters. The agent is left to infer everything about selecting this tool over paymo_get_me or the other list_* siblings.

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