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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is fully covered without the description. The description adds ordering (newest first) and item shape (links to primary source and their article), which is useful but modest; it says nothing about rate limits, freshness windows, or how pagination terminates.

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 tightly packed sentences with no filler. The defining characteristics (dated, source-linked, newest first) and the filter option are front-loaded before the return-value detail.

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 output schema, the description carries the return-value burden and does so adequately: dated items, newest first, each with source and article links. It omits pagination semantics and total-count behavior, but for a simple 3-param read tool this is close to sufficient.

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 67%: limit and cursor are documented in-schema, but query has no description. The description compensates by explaining that query filters by keyword or company, which is the missing semantic for that parameter. It does not add detail on matching behavior (exact vs. fuzzy) or cursor interaction.

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 the resource precisely (dated, source-linked AI news events), the ordering (newest first), and the optional filtering axis (keyword or company). This clearly separates it from siblings like find_ai_jobs, get_company, or whats_trending. It stops short of an explicit retrieval verb, but the resource and scope leave no ambiguity.

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: call it when you want AI news, optionally narrowed by keyword or company. There is no explicit when-not guidance and no alternative sibling is named (e.g., nothing pointing to whats_trending for trending topics), so the agent must infer the boundary itself.

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