list_benzinga_ratings

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

Annotations indicate readOnlyHint=true, confirming this is a safe read operation. The description does not contradict this, as 'list' implies reading. However, it adds no behavioral context beyond what annotations provide, such as rate limits, pagination details, or authentication needs. With annotations covering the safety profile, the description adds minimal value, warranting a baseline score.

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 'List Benzinga ratings.' is extremely concise but under-specified, not appropriately sized for a tool with 57 parameters. It lacks front-loaded critical information and wastes no words, but this brevity results in insufficient detail, making it ineffective rather than efficiently structured.

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?

Given the high complexity with 57 parameters, 0% schema coverage, and no output schema description provided in context, the description is completely inadequate. It does not explain parameters, return values, or usage scenarios, failing to provide the necessary context for effective tool selection and invocation in a data-rich environment.

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?

The input schema has 57 parameters with 0% description coverage, meaning all parameters are undocumented in the schema. The description provides no information about any parameters, failing to compensate for the lack of schema documentation. This leaves the agent without understanding of what parameters like 'date_gt' or 'importance' mean, making it inadequate for tool invocation.

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 'List Benzinga ratings' is a tautology that restates the tool name, providing no additional detail about what the tool does beyond the verb 'list' and resource 'Benzinga ratings'. It lacks specificity, such as indicating it retrieves financial analyst ratings with filtering capabilities, and does not distinguish from sibling tools like list_benzinga_consensus_ratings, making it vague and minimally informative.

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 provides no guidance on when to use this tool versus alternatives, such as sibling tools like list_benzinga_consensus_ratings or other data retrieval tools. There is no mention of context, prerequisites, or exclusions, leaving the agent without any usage instructions, which is misleading in its omission of necessary decision-making information.

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