neuron_get_requests

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

With no annotations provided, the description carries the burden of disclosing behavior. It communicates that the tool reads from ephemeral ring buffers and supports filtering, implying a non-destructive query. However, it does not mention return format, pagination, rate limits, or any side effects, leaving behavioral transparency incomplete.

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 redundant words. It places the core action and resource first, followed by the filter dimensions in a compact list.

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?

For a tool with 7 optional parameters, no output schema, and no annotations, this description is too thin. It omits the return shape, default limit behavior, filter combination semantics, and any relationship to similar traffic-related tools. An agent would need to inspect schemas or experiment to call it confidently.

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?

Schema description coverage is only 29%, with meaning absent for tabId, method, platform, statusMin, and statusMax. The description merely lists these filter categories without explaining value formats, ranges, or how filters combine. It adds minimal semantic value beyond the schema property names.

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 a specific verb + resource ('Query recent HTTP requests') and names the data source ('the extension's ring buffers') plus available filter dimensions. This clearly distinguishes it from sibling logging tools like get_logs, get_errors, and get_ws_frames, which target different resources.

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 when to use the tool: whenever an agent needs recent HTTP request data filtered by tab, platform, status, method, or URL. However, it provides no explicit guidance about alternatives such as neuron_search_traffic or neuron_export_har, and it does not state when not to use this tool.

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