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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that the result is a composite of coverage-volume anomaly and tone-vs-normal, which is useful behavioral context. However, it says nothing about the score's scale, range, or what a returned value looks like, and there is no output schema to fill that gap.

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 compact sentence that front-loads the subject and the two score dimensions with zero filler. It is a sentence fragment rather than a full clause, which is a minor stylistic weakness but not a clarity problem.

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?

This is a simple two-parameter read tool with full schema coverage and read-only annotations, so most structural burden is carried elsewhere. The main remaining gap is the output: with no output schema, the description should say more about what the score is (scale, direction, units) to let an agent interpret the result.

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 100%, so the schema already documents symbol (with examples NVDA, JPM, BTC) and window (1h, 24h, 7d). The description reinforces that the tool is per-ticker but adds no meaning about the window parameter or default behavior beyond the 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 names a specific resource (news coverage for a ticker) and specifies the two components the score measures: volume unusualness and tone relative to normal. It is clearly distinct from a raw sentiment lookup like news_sentiment. It stops short of naming a sibling for differentiation, but the purpose is unambiguous.

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 usage is only implied: an agent can infer it should call this when it wants a compact anomaly/tone score rather than raw articles. There is no explicit when-to-use, when-not-to-use, or pointer to alternatives such as news_sentiment or news_sentiment_history.

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