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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds value by disclosing exactly what content comes back (publisher, dataset page, terms, as-of/retrieval dates, publishing page), which is real behavioral context given there is no output schema. It does not mention ordering or size of the list.

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 front-loaded sentence: verb, scope, then the field inventory. Every clause carries information; nothing is redundant or 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 no output schema, the description is the sole source of return-value information, and it enumerates the fields well. Minor gap: it does not say how the list is ordered or how large it is, though for a static zero-param catalog this is a small omission.

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 the baseline is 4; there is nothing for the description to disambiguate, and it correctly does not waste words on inputs.

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?

Specific verb ('Lists') plus a precisely scoped resource ('every source file this server reads'), with the returned fields enumerated. It is clearly a metadata/provenance tool, cleanly distinguishable from the sibling data-query tools (county_profile, nfip_claims_*).

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?

Usage is implied by the fact that it takes no parameters and returns a provenance catalog, but the description never states when to call it or how it relates to the sibling tools. No explicit 'use this when you need to cite/verify a data source' guidance, and no exclusions.

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