serpent

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool runs queries and returns grouped results, but does not cover critical aspects like whether this is a read-only operation, potential rate limits, authentication needs, error handling, or what happens when providers fail. For a tool that interacts with multiple external services, this is a significant gap.

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, well-structured sentence that efficiently conveys the tool's purpose and outcome without unnecessary words. It is front-loaded and every part earns its place.

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 complexity of querying multiple providers, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits, error scenarios, output format, and how results are structured for comparison. This is inadequate for a tool with external dependencies and multiple parameters.

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 67% (2 out of 3 parameters have descriptions). The description adds value by explaining the purpose of comparing providers and implying the 'providers' parameter's role, but does not detail the 'query' or 'num_results' beyond what the schema provides. With moderate coverage, it compensates somewhat but not fully.

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 states the specific action ('Run the same query against multiple providers') and the outcome ('return results grouped by provider for side-by-side comparison'), distinguishing it from sibling tools that search specific platforms. It uses precise verbs and identifies the resource being compared.

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 usage for comparative analysis across providers, but does not explicitly state when to use this tool versus the sibling search tools (search_academic, search_github, etc.). It lacks guidance on alternatives or exclusions, leaving the context somewhat implicit.

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