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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds the useful detail that each entry is a one-line summary, but says nothing about ordering, count, or what identifiers come back for chaining.

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 the resource named first and the return shape after the colon. No filler, though the 'requirements you can send' phrasing is slightly vague about what kind of requirement is meant.

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 trivial zero-param, no-output-schema tool with rich annotations the description is close to sufficient, but it leaves a real gap: an agent needs to know the listed entries can be fed into describe_proposition, and that linkage is not stated.

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?

There are zero input parameters, so per the baseline this scores 4. The description correctly implies a no-argument catalog call, and nothing about parameters needs further explanation.

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 states a concrete verb and resource (list services) and characterizes the two kinds of services returned: instant lookups and sendable requirements. That characterization implicitly maps onto sibling tools (entity_lookup/screen_sanctions vs submit_request), though it never names them, and the name/title mismatch ('propositions' vs 'services') adds a small ambiguity.

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?

Usage as a discovery step is implied by the fact that it lists services, but the description never says 'call this first, then use describe_proposition for details' or when to skip it. The agent must infer the routing from context rather than being told.

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