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

With no annotations provided, the description carries the full burden and does well: it states the feed is RSS-sourced and deduplicated, lists the exact fields returned, and explicitly notes that article body text is not included. It does not mention ordering, pagination, or API-key behavior, but those are either minor or covered by the schema.

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 compact, front-loads the core purpose, and includes useful qualifiers ('RSS-sourced, deduplicated', 'no article body text') without unnecessary words. Every sentence contributes information an agent needs.

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?

The tool is simple, has no required parameters, and no output schema, so the description's specification of return fields and its explicit limitation about article body text provide enough context for correct invocation. It could be slightly stronger with ordering or time-window expectations, but it is largely complete.

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 all three parameters. The description adds only a brief mention of optional ticker/company-name filtering, which mostly restates the schema's ticker parameter rather than adding new meaning.

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 clearly identifies a specific verb ('Get'), resource ('recent market/company news headlines'), and data source (XFINLAB's aggregated real-time news feed). It does not explicitly contrast itself with siblings like get_intelligence_feed, so it stops short of full sibling differentiation.

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 description implies when to use the tool: whenever recent market/company news headlines are needed, optionally filtered by ticker. However, it gives no explicit guidance about when not to use it or what alternative tools like get_intelligence_feed or get_sentiment are for.

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