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

Annotations already declare readOnly/idempotent/non-destructive, so the bar is lower, and the description still adds real behavioral content: the return may be either live analysis or a 'labelled historical replay', it carries an evidence clock and a passing publication receipt, and facts are not regenerated. That dual-mode disclosure is exactly the kind of trait annotations cannot express.

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 sentences with no filler, and the core resource ('today's exact full-text editorial') is front-loaded. Some phrasing is dense internal jargon ('evidence clock', 'passing publication receipt') that costs a little immediate clarity.

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 parameters and no output schema, the description carries the burden of explaining what comes back, and it does: full text, evidence clock, publication receipt, plus the current-vs-replay distinction. Only minor gaps remain, such as what 'today' means across timezones or whether the call can fail.

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?

Zero parameters, so the baseline of 4 applies; the description correctly implies a no-argument call. There is nothing further the description could add about 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 ('Read') plus a specific resource ('today's exact full-text LiquiLens editorial') with scope clarified as current analysis or a labelled historical replay. It is distinguishable from sibling evidence_* and verify_published_record tools by being the editorial artifact itself, though it never names a sibling to contrast with.

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 rather than stated: the agent learns it should call this to obtain today's article and quote it with its evidence clock and publication receipt. There is no explicit 'use this instead of X when Y', and the closest alternative, verify_published_record, is never referenced.

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