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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is known. The description adds that data comes from the 'live gateway,' which is a useful real-time context, but doesn't disclose other behaviors (e.g., response format, pagination). With annotation coverage, this is adequate but not rich.

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 redundancy, direct front-loaded verb, and each sentence adds information (what it does and what it shows).

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 simple read-only visualization tool with a single optional parameter, an output schema, and strong annotations, the description is sufficient. It tells the user what they'll see (agents, approval status, interaction patterns) and that it's live. Could not go to 5 due to lack of sibling differentiation, but overall it's complete in context.

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 coverage is 100% for the single 'workspace' parameter, and the description adds no additional parameter details beyond the schema. The baseline of 3 applies because the schema handles parameter documentation.

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?

Description uses specific verb 'Visualize' with clear resource 'agent-to-agent communication flow' and lists concrete outputs (registered agents, approval status, interaction patterns). It doesn't explicitly name sibling tools for differentiation, but 'visualize' clearly contrasts with 'audit', 'log', and 'policy' siblings.

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 guidance on when to use this tool versus alternatives like thinkneo_a2a_log or thinkneo_a2a_audit. No context about use cases or exclusions; the description only states what it does.

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