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

No annotations are provided, so the description carries the full burden. It communicates that this is an informational, machine-legible resource, that it is free and requires no key, and that it answers specific metadata questions. For a zero-parameter read-only tool this is solid behavioral disclosure, though it doesn't explicitly state 'no side effects' or describe the return format.

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?

Three short sentences, front-loaded with the 'ONBOARDING SPEC' label, then the content scope, then the access constraint. Every sentence earns its place; there is no filler or redundancy.

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 no-parameter informational tool, the description is nearly complete: it names all covered feeds, the dimensions of metadata, the access requirement, and the machine-legible nature. It could be slightly richer by specifying the output format, but it provides enough for an agent to invoke and interpret the tool successfully.

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 has zero parameters, so the schema carries no burden and the baseline is 4. The description still adds meaning by specifying what the dictionary contains (freshness, history depth, coverage, endpoints, feed names), which helps an agent understand the returned content even without an output schema.

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 very specific purpose: it is an onboarding spec exposing freshness, history depth, coverage, and endpoints per named feed. It lists the exact data feeds covered and explicitly answers the 'how stale / how far back' questions, making it clearly distinct from sibling tools like fetch_dataset or list_datasets.

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?

The phrase 'ONBOARDING SPEC' and the question 'how stale is this and how far back does it go' give strong contextual guidance for when to call it. It does not explicitly name alternatives or state when not to use it, but the intended use case is clear enough.

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