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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and closed-world scope, so the safety profile is covered. The description adds the notion of 'immutable snapshot provenance', which conveys data stability, but says nothing about pagination, auth, or result size for what is clearly a list operation.

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 with no filler; the resource and returned facets are stated immediately. It is jargon-dense but 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?

For a read-only list tool with annotations covering safety and no output schema, the description conveys what the items represent, which is largely sufficient. However, it omits any paging/limit behavior, which is the one operational detail an agent needs to call it correctly.

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 0% and the single 'limit' parameter is undocumented in both schema and description. The description never mentions limiting, paging, or result count, so it does not compensate for the coverage gap even though the schema bounds (1-50, default 20) hint at the intent.

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 (List) and a concrete resource (public dataset selection contracts plus snapshot provenance, coverage, freshness, citation metrics). An agent can tell this is the datasets-listing tool, but it does not explicitly distinguish itself from near-siblings like evidence_sources or evidence_source_registry.

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?

No when-to-use guidance, no prerequisites, and no mention of alternatives such as evidence_sources or evidence_benchmarks. The agent must infer the selection context 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.