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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: it aggregates multiple named sources, merges results newest-first, and supports keyword/day filters in a single call—traits the agent needs to know for expectations about scope and ordering.

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?

The description is a single dense paragraph but remains readable, with the core purpose front-loaded and concrete examples (e.g., 'FDA approval', 'obesity') embedded. The exhaustive source list is verbose but useful for setting expectations without wasting words.

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?

There is no output schema, and the description does not specify the shape of the returned headlines (e.g., fields like title, summary, source, URL, date). While the input semantics are fully covered, an agent cannot predict exact return formatting or pagination details beyond the limit parameter. This is a meaningful gap for an aggregation 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 description coverage is 100%, with all four parameters (days, limit, query, source) already described clearly in the schema. The description adds minimal supplementary semantic detail beyond the schema, simply reinforcing the filtering concepts. Baseline 3 is appropriate when the schema carries the load.

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 ('Aggregates') and resource ('biotech and pharmaceutical industry news headlines'), with a detailed list of content types (FDA approvals, clinical trials, M&A, funding, layoffs). Clearly distinguishes itself from siblings like biotech_news_sources, which is the companion tool for source IDs, and other research tools.

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?

Clearly communicates the intended use: fetch the latest biotech/pharma news with filtering by keyword and day window. Does not explicitly state when to prefer an alternative, but the mention of 'one call' and source aggregation versus the biotech_news_sources sibling provides enough contextual guidance.

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