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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false), so the bar is lower. The description adds real value beyond them: it discloses the exact return shape (category, key, KB value, live value derived right now, drift age in days, severity info|warn|stale) and the provenance of both sides of the comparison. It does not mention refresh cost or auth, but nothing critical is missing.

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?

Front-loads the core purpose and return fields, then the usage trigger, then ecosystem scope. Sentences earn their place, though the 'no other Canton MCP server exposes this kind of cross-source quality audit' line leans promotional rather than operational.

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?

With no output schema, the description compensates by enumerating the returned fields and their semantics, and it explains the drift concept and data sources. An agent has enough to call it correctly; only minor details (pagination, ordering) are absent.

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 description coverage is 100% and the single refresh parameter is fully documented in the schema (including the stored-vs-live evaluation semantics). The description adds nothing about the parameter, so the baseline 3 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 specific verb (report where ... diverges) with two concrete resources (the Foundation Build-on-Canton KB snapshot vs CCPEDIA live signals) and names the underlying data tables (github_releases, network_state). An agent can tell this apart from detect_drift, outdated_guidance_detector, and check_deprecation because the description pins the comparison to the KB snapshot vs live signals.

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?

Gives an explicit trigger: use when a user or another agent quotes a Canton SDK/Splice/DPM/Daml version from foundation_kb and you need to confirm it is current. It also scopes the ecosystem (Canton/Daml/Splice only). It stops short of naming the sibling alternatives (e.g., detect_drift) and when NOT to use this one.

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