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

Annotations already declare read-only, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new behavioral context by disclosing the shape of the return: a one-line summary per service, split into two categories. That matters because no output schema exists. Minor gap: no ordering, completeness or pagination statement.

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 front-loaded sentence with no filler, followed by a clarifying colon clause. The clause is slightly elliptical ('requirements you can send'), costing a bit of immediacy, but nothing is wasted.

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-arg, read-only list tool with no output schema, the description does the essential work of telling the agent what comes back. It still leaves open whether the list is exhaustive, how items are identified, and whether the returned names feed directly into describe_proposition.

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 tool takes zero parameters, so the baseline is 4. Nothing in the description conflicts with the empty schema, and no parameter meaning is needed.

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 gives a specific verb ("List") and resource ("Millsheet's services") and clarifies what a 'proposition' actually is: instant lookups and requirements you can send. That resolves the terminology gap between the tool name and its title. It stops short of naming the sibling tools, so the agent must infer the boundary itself.

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?

There is no explicit when-to-use statement and no routing to describe_proposition or submit_request, even though the 'one-line summary' phrasing hints that a detail tool exists. The agent is left to infer that this is the discovery/entry-point call.

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