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

Annotations already cover read-only, idempotent, non-destructive and closed-world, so the bar is lower; the description still adds genuinely useful behavior: the result is assembled from stored checks and 'nothing is re-checked,' which warns the agent the data may be stale. It does not mention permissions, rate limits, or how large the report may be.

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, front-loaded with the resource and its contents, followed by the practical use case and the staleness caveat. The enumeration of problems/warnings/tips/passes and the 'suggested fix' detail each carry real information; nothing is padding.

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 only two fully documented parameters, safety annotations present, and no output schema, the description covers the essentials: what is returned, in what categories, and that it is derived from stored checks rather than a live probe. Only the staleness window and the response shape are left implicit, which is minor here.

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 both parameters (agent_id with an ERC-8004 token-ID pattern, chain_id with the 1/8453 mapping) are documented in-schema with no enums. The description adds no parameter-level meaning beyond that, 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?

The description gives a concrete metaphor-plus-substance account: a 'report card for one agent' built from 'what lcas found when it last read the registration file and checked each endpoint.' An agent can tell this apart from a raw record fetch, though it never names the sibling tools (get_agent, directory_status) it differs from.

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?

'Use it to see why an agent is not listed or not working in lcas' gives a clear triggering condition and diagnostic intent. It stops short of explicit exclusions or naming the alternative tool to call when you want raw agent data instead.

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