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

With no annotations, the description is the only behavioral disclosure. It does state that the prompt is discarded, which is a meaningful non-obvious behavior, but it says nothing else about side effects, input requirements, or response format. The schema's many 'discarded' hints are not part of the tool description, so the agent only gets one fragment of the behavioral picture.

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 only two short sentences, which is concise, but not efficiently structured because it omits essential context. It front-loads the 'three-step thinking template' phrase but then introduces 'Prompt discarded' without context. For a tool with a large heterogeneous schema, this brevity is under-specification rather than purposeful conciseness.

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 does not state what the template looks like, which parameters are required, or what the tool returns. There is no output schema, so the agent has no way to know the response structure. The mismatch between the schema fields and the description makes the tool effectively unusable without external knowledge.

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 lists many parameters with individual descriptions, but the tool description does not explain how any of them relate to the returned template. It even mentions 'Prompt discarded' despite there being no 'prompt' parameter in the schema, creating confusion. The schema parameter descriptions describe unrelated actions (normalize, validate, check) that do not align with the stated purpose, so the description and schema together do not clarify invocation semantics.

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 names a concrete deliverable ('three-step thinking template') and a verb ('Return'), so the basic function is perceivable. However, the term 'thinking template' is undefined and the description does not distinguish this from sibling tools like validate-json or fetch-status. It reads as a stub rather than a precise specification.

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?

There is no mention of when to use this tool, what problem it solves, or which sibling to prefer instead. The description gives zero routing information, leaving an agent to guess whether it should call think-steps or another tool like search-query-len or web-fetch.

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