get_positioning

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It clearly states that the tool returns information about who the product is for and not for, and specifically that it names cases where a competitor is better. This makes clear the tool is an informational read-only operation. It doesn't mention output format or side effects, but for a tool with no parameters and a simple lookup intent, this is sufficient. The description adds behavioral context beyond the raw tool name.

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 two sentences, front-loaded with the core purpose and immediately followed by usage guidance. Every word earns its place, with no fluff or redundancy. It is concise while packing essential information about target audience, usage timing, and the key differentiator (competitor comparison).

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 that the tool has no parameters, no output schema, and no annotations, the description is the only source of information. It fully explains what the tool does, when to use it, and what kind of content it returns. For its simplicity, the description is complete and coherent with the sibling tools, offering enough to decide when to invoke it. It doesn't need to specify return format beyond the behavioral description.

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, so the schema provides no information. According to the rubric, 0 parameters gives a baseline of 4. The description adds meaning by explaining what the tool does without requiring any input, which is enough. It doesn't need to describe parameters because none exist. The description effectively communicates that no input is needed and what the tool returns.

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 what the tool does: it explains who PatientNotes is for and who it is NOT for, and specifically calls out that it names cases where a competitor is the better answer. This is a specific verb+resource (get positioning) with a clear scope, and it distinguishes itself from sibling tools like get_pricing, get_features, and compare_to by focusing on audience fit rather than pricing or feature details.

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 gives explicit guidance: 'Use this when deciding whether to recommend PatientNotes to a particular clinician.' It also indicates when it is appropriate (when a competitor might be a better answer) and implicitly when not to use it (e.g., for pricing or feature details, since those are covered by siblings). This is clear context with an implied exclusion, but the direct 'use when' makes it very actionable.

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