drift_baseline

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

With no annotations, the description carries the full burden and does well: it discloses the fetch side effect, that results are persisted to a local SQLite database as a 'known good' reference, that no Google API calls are made, and that CWV capture requires CRUX_API_KEY and is skipped without it. This is meaningful behavioral context, though error/failure behavior on unreachable pages is not covered.

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?

Front-loads the purpose, then the mechanics and caveats, with no filler in the operational sentences. The provenance line about drift_baseline.py / Dan Colta methodology is arguably extraneous but is short and bounded.

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?

An output schema exists, so return-value explanation is unnecessary, and the description covers purpose, side effects, dependency, and the follow-up tool. It is nearly complete; only the sibling-routing detail (versus drift_history) and failure handling are absent, which are minor for a baseline-capture 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?

Schema coverage is 0%, so the description needs to compensate for two undocumented parameters. It indirectly clarifies skip_cwv by explaining that CWV capture requires CRUX_API_KEY and is 'skipped otherwise,' and url's role is self-evident, but neither parameter is named or given format/type details. Partial compensation warrants a mid score.

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 and resource ('Capture an SEO baseline snapshot for a URL') and immediately enumerates what it extracts, so an agent knows exactly what this produces. It also names the sibling it pairs with (drift_compare), distinguishing it from that tool without opening either schema.

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?

Gives clear sequencing guidance ('Call drift_compare later to detect regressions'), which establishes the baseline-then-compare workflow with the sibling drift_compare. It stops short of stating when NOT to use it (e.g. versus drift_history or when a baseline already exists), so it is clear but not exhaustive.

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