search_social

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

No annotations are provided, so the description must fully disclose behavioral traits. It states the tool performs a 'web search' but does not explain how results are retrieved, formatted, or limited (e.g., pagination, rate limits, authentication needs). The description lacks details on error handling, response structure, or operational constraints, leaving significant gaps in behavioral understanding.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy for an AI agent to parse quickly. This optimal conciseness earns the highest score.

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 tool's complexity (6 parameters, no output schema, no annotations), the description is incomplete. It lacks details on behavioral traits, usage context, and output expectations. Without annotations or an output schema, the description should provide more comprehensive guidance to help the agent understand how to invoke and interpret results, but it falls short.

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 100% description coverage, providing clear details for all 6 parameters. The description adds no additional parameter semantics beyond implying a focus on social media platforms, which is somewhat redundant with the schema's 'platforms' parameter. With high schema coverage, the baseline score of 3 is appropriate, as the description does not compensate with extra insights.

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 tool's purpose: 'Perform a web search focused ONLY on specific social media platforms.' It specifies the verb ('search'), resource ('social media platforms'), and scope ('web search focused ONLY on specific...'). However, with no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, preventing a score of 5.

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, prerequisites, or exclusions. It mentions the focus on social media platforms but does not clarify use cases, limitations, or comparisons to other search tools. This lack of contextual guidance limits its utility for an AI agent.

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