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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds value by noting the data is cached (captured_at), sourced from the public Scan API, and is a snapshot. No contradictions. Additional context about caching and live telemetry enhances transparency beyond annotations.

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?

Description is concise: two sentences plus a short exclusion list. It front-loads the core purpose, lists return items, and then clearly contrasts with sibling tools. Every sentence adds value with no redundancy.

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?

Given no output schema, the description provides a thorough list of returned fields (SV list, count, voting thresholds, etc.) and mentions caching and source. It is sufficient for an agent to understand what the tool returns. Minor gap: no mention of response format or error handling, but acceptable given tool simplicity.

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?

Tool has zero parameters, so baseline is 4 as per scoring guidelines. No parameter documentation needed. Description does not attempt to explain parameters, which is appropriate.

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 clearly states the tool retrieves the latest Canton Network on-chain state snapshot from the public Scan API. It lists specific data returned (super validators, voting threshold, etc.) and explicitly distinguishes from siblings get_network_stats and get_token_market. The verb 'Get' with precise resource 'network state' makes purpose unambiguous.

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 description specifies this is Canton-only live network telemetry and explicitly names two sibling tools that should not be used for this purpose. It implies use when needing on-chain state but could be slightly more explicit about when to choose this over other tools. Overall guidance is clear and helpful.

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