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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds real context beyond them: it returns identifiers only and requires no login switch, meaning it exposes all authorized contexts in one call. It does not mention pagination or ordering, but for a no-param read this is solid.

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 sentences, no filler, with the scope statement front-loaded and the auth note second. Every clause 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-param, read-only tool with an output schema and full annotation coverage, the description supplies enough to call it correctly. The only gap is routing guidance relative to the other list_* tools, which is not strictly required here.

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?

Zero parameters, so the schema baseline is 4 and there is nothing for the description to disambiguate. The description instead characterizes the return payload, which the output schema covers, so no additional credit or penalty applies.

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 resource set — workspaces, writers, publications — and what it returns (identifiers for team scheduling). 'Discover' is a slightly softer verb than 'list', but the object is concrete enough that an agent can distinguish it from siblings like list_medium_publications or list_linkedin_destinations.

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 phrase 'for team scheduling' implies when this tool is useful (before scheduling team content), but no alternative or exclusion is named, and the many list_* siblings are not addressed. Usage is implied rather than stated.

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