post

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

The description provides no behavioral information. With no annotations, the description carries full burden but doesn't disclose whether this is a read or write operation, what resources it affects, authentication requirements, rate limits, or expected behavior. The vague 'search Google data' hint contradicts the tool name 'post' (which typically implies creation/submission), creating confusion rather than transparency.

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 inefficiently structured with marketing fluff that doesn't serve the tool's documentation purpose. Sentences like 'Discover the power of data with our API' and 'unlocking insights and enhancing your decision-making capabilities' waste space without providing functional information. It's not appropriately front-loaded with essential details about what the tool actually does.

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?

The description is completely inadequate for understanding this tool. With no annotations, no output schema, and a misleading description that doesn't explain the tool's function, an agent cannot determine when or how to use this tool. The complexity of a 'post' operation (typically involving data submission) requires clear behavioral disclosure that's entirely missing.

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 tool has zero parameters with 100% schema description coverage, so the baseline is 4. The description doesn't need to compensate for any parameter gaps since there are none. While the description doesn't discuss parameters (because there aren't any), this doesn't detract from the parameter semantics dimension given the empty schema.

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 fails to state what the tool does. It provides generic marketing language about 'discovering the power of data' and 'leveraging AI to analyze and organize information' but doesn't specify what action this 'post' tool performs. There's no verb+resource combination, no indication of whether it creates, updates, searches, or processes something. This is essentially misleading since it doesn't describe the tool's actual function.

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?

No guidance is provided on when to use this tool. The description mentions 'search Google data' but doesn't clarify if this is the tool's purpose or just general API capability. With no sibling tools, differentiation isn't needed, but there's still no indication of appropriate contexts, prerequisites, or limitations for using this tool.

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