searchatlas_content

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 'AI content generation' but doesn't specify whether this is a read-only or write operation, what permissions are needed, how long it takes, rate limits, or what the output looks like. For a tool with 4 parameters and no output schema, this leaves significant gaps in understanding its behavior.

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 with examples. It's appropriately sized and front-loaded with the core function. However, it could be slightly more structured by explicitly mentioning it's for generating content via an AI agent.

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 a 4-parameter tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns, how it interacts with the AI agent, or the implications of parameters like 'plan_mode'. For content generation, more context about output format or usage scenarios would be helpful.

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 parameters thoroughly. The description adds no additional meaning about parameters beyond implying general content generation. This meets the baseline of 3 since the schema does the heavy lifting, but the description doesn't compensate with any contextual insights about parameter usage.

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 as 'AI content generation' with specific examples (blog posts, landing pages, optimized copy), which is a clear verb+resource combination. However, it doesn't differentiate from sibling tools like 'searchatlas_website_studio' or 'searchatlas_run_playbook' which might also involve content generation, leaving some ambiguity about scope.

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. It doesn't mention prerequisites, context for choosing this over other content-related tools, or any exclusions. The agent must infer usage from the name and parameters alone.

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