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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered structurally. The description adds that the call is preparatory/informational, but says nothing about output shape or volume, which matters since no output schema exists.

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 short sentence with the timing cue placed where it matters. It is efficient, though "the whole workflow" is loose phrasing that could have been tightened into a concrete statement of contents.

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 discovery tool with no output schema, the description should tell the agent what it will actually receive (workflow steps, capability list, limits). It gestures at this but leaves the return contents undefined, which is the main remaining gap.

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 and the schema is empty, so there is nothing for the description to clarify. Baseline 4 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?

"Learn the whole workflow and available service capabilities" indicates an informational/discovery tool, which is distinct from action-oriented siblings like start_scan or create_workspace. However, "learn" is a soft verb and the description never states concretely what the tool returns (workflow steps, capability list, or both), so the purpose stays somewhat vague.

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 "before creating work" gives an implied ordering hint — call this ahead of the create/start siblings. There is no explicit when-not guidance and no named alternative, so the routing signal is suggestive rather than directive.

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