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

With no annotations, the description carries the full burden for behavioral disclosure. It does disclose a key safety property (no bearer token exposure), which is valuable. However, it does not mention whether the tool is strictly read-only, or describe any side effects, rate limits, or permission requirements. It adds some transparency but leaves 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 sentence that front-loads the action and resource. Every word earns its place, and the token safety note is included without verbosity. It is concise and well-structured.

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?

An output schema exists, so return values are covered elsewhere. The tool is relatively simple with all optional parameters, and the description covers the core purpose and a key safety aspect. However, it lacks guidance on parameter usage and does not reference sibling tools, so it is not fully complete for a 9-parameter tool, though it is adequate given the output schema.

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 has 9 parameters with 0% description coverage, so the description must compensate. It does not describe any of the parameters or how filtering works, apart from the generic word 'filter'. Since none of the parameter meanings are explained, this is a significant gap, earning a low score.

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 function with a specific verb+resource ('Inspect and filter recent OpenAkashic API/MCP requests') and adds a critical scoping detail ('without exposing bearer tokens'). This distinguishes it from sibling debug tools like debug_log_tail and debug_tool_trace, which focus on logs and tool traces respectively.

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 implies usage when one needs to inspect or filter recent requests, but it does not explicitly state when to prefer this over alternatives like debug_log_tail or debug_tool_trace. No exclusions or alternative guidance are provided, so it earns a middling score for implied rather than explicit usage context.

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