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

With no annotations, the description must convey behavioral traits. 'Tail' implies reading, but it does not explicitly state that the operation is read-only, what the output format is, or whether it follows the log. It also does not mention any side effects or prerequisites, leaving significant gaps.

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, front-loaded sentence with no fluff. It states the tool's purpose efficiently. It is not overly verbose, earning a high score, though it is minimally informative.

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 lack of annotations and the presence of an output schema, the description still leaves the agent without context about the log's contents, persistence implications, or typical use cases. It is too sparse for a tool that could have subtle behaviors like 'tail' semantics.

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 schema has a 'limit' parameter with no description, and the tool description does not mention it at all. With 0% schema description coverage, the description must compensate but fails to explain what 'limit' controls, though the name and default provide some intuitive meaning.

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 uses the specific verb 'tail' and names the resource 'OpenAkashic request JSONL log', making it clear what the tool does. However, it does not distinguish itself from sibling tools like debug_recent_requests or debug_tool_trace, so it misses the top score.

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 does not mention any specific scenarios, exclusions, or relationships to other debug tools, leaving the agent without usage context.

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