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

With no annotations, the description must carry the behavioral burden, but it only mentions that the feeds are pre-scraped and cost $0.001 USDC. It does not disclose what happens when feedId is provided, whether any side effects occur, or what the response looks like.

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 text is short, but it is an under-specified label rather than a concise tool description. It front-loads a useful cost detail but omits the necessary functional information, so brevity is not appropriate for the tool's 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?

For a tool with a required parameter, no output schema, and no annotations, the description is far too incomplete. An agent cannot determine what to pass, what will be returned, or how this tool differs from similar data-access siblings.

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 0%, so the description must explain the required feedId parameter. It does not: no source for feedId values, no format, no example, and no indication of how a caller would know a valid ID.

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 is a noun phrase ('Pre-scraped AI data feeds') with no action verb, so it mainly restates the tool name rather than explaining what the tool does (list, retrieve, or purchase feeds). It also does not distinguish this from the closely named sibling 'public_data_feed'.

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?

There is no explicit guidance about when to use data_feeds versus alternatives like web_scraper, browser_scraper, or public_data_feed. 'Pre-scraped' implies it is for already collected data, but this is left to inference rather than stated.

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