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

No annotations are provided, so the description carries the full behavioral burden. "List" implies a read-only enumeration, but the description says nothing about return shape, pagination, ordering, or what "normalized" means operationally. For a zero-annotation tool this is a significant transparency gap.

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?

A single terse sentence with no filler or repetition. It is efficient, though the brevity borders on under-specification rather than true conciseness.

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, no parameters, and no annotations, the description is the only source of information — yet it never explains what the listed "coverage" actually contains or how results are structured. An agent cannot predict the response, so the definition is incomplete for even a simple listing tool.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate at the parameter level. The baseline for a parameterless tool 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?

"List normalized Seiche money-market coverage" gives a verb (List) and a resource (Seiche money-market coverage), so the basic action is identifiable. However, "normalized coverage" is vague — it does not say whether this returns markets, instruments, or a coverage map, and it does not differentiate from siblings like seiche_observations or list_datasets. Purpose is implied rather than concrete.

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?

There is no statement of when to use this tool versus the many sibling listing tools (corpus_catalog, list_datasets, seiche_observations). No prerequisites, no context, no alternatives named. The agent must infer usage from the name alone.

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