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

With no annotations, the description carries the burden and mostly succeeds: it enumerates exactly what is returned (census response and latency/streak, tool listing, delivered rate, 95% lower bound, independent issuer count, confidence), names the data provenance (daily census, signed receipts), and discloses the commercial model ('Free; no paid placement'). It does not say what happens for an unknown target or whether calls are rate-limited, so it is not fully complete.

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?

Three sentences with the action directive front-loaded, then the return payload, then the no-paid-placement caveat. Dense but every clause adds information; only the parenthetical '(and how fast, how many days in a row)' is slightly padded phrasing.

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 one-parameter read tool with no output schema, the description effectively stands in for a return-value spec by naming the fields an agent will get back. The remaining gap is edge-case behavior (unknown/unreachable target) which matters for a lookup whose whole purpose is judging availability.

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% and the single 'target' parameter is already documented with the same examples (endpoint URL, registry name, agent id). The description restates those accepted forms but adds no format syntax, normalization rules, or fallback behavior beyond the schema, so 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+resource: look up an agent or tool's record (census presence, tool listing, delivery/receipt stats) from its endpoint URL, registry name or id. An agent can tell this is a reputation/health lookup rather than the sibling census or search tools, though it never names those siblings explicitly.

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 before you pick or call an agent or tool you have not used.' That is clear when-to-use guidance. It stops short of stating when NOT to use it or naming agentrecord_search/census as the alternative for discovery, so it lands at 4 rather than 5.

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