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

With no annotations, the description carries the full burden, and it does meaningful work: it discloses what the response contains (source, snapshot month, row counts, field meanings, caveats). As a zero-parameter tool, mutation/auth/rate-limit concerns are largely moot, so this is close to adequate, though it says nothing about format or freshness beyond the snapshot month.

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 short sentences, zero filler, with the content enumeration front-loaded ahead of the conditional call guidance. Every clause earns its place.

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?

There is no output schema, so the description must cover return values, and it enumerates them well. Combined with zero parameters and no annotations, an agent has enough to call it correctly; only the exact response shape/format remains unspecified, which is a minor gap.

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 no parameter surface for the description to clarify, and it correctly focuses on return content instead.

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 states a specific resource (dataset metadata) and enumerates exactly what it returns: source, snapshot month, row counts, field meanings and caveats. The verb is implicit ('What data is loaded') rather than an explicit action, but the scope is unmistakable and clearly distinct from the company/partner query siblings.

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?

It gives an explicit trigger: 'Call first if unsure what the tools cover.' That is real, actionable guidance for when to reach for this tool over the sibling search/list tools. It stops short of stating when not to call it, which keeps it out of the top band.

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