llm_timeline

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

With no annotations, the description must disclose behavioral traits. It indicates a read-only query ('Return'), which is appropriate. The phrase 'bounded packet summaries' hints at some limitation but lacks detail on what bounds apply (e.g., memory, time). It is minimally transparent with no contradictions.

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, concise sentence of 9 words. It is front-loaded with the core purpose, but the brevity sacrifices completeness. Every word earns its place, but the tool would benefit from more detail.

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 three parameters (one required) and no output schema visibility, the description omits critical context like parameter meaning and usage constraints. The tool is moderately complex, and the description does not sufficiently guide correct invocation.

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 coverage is 0%, so the description must compensate by explaining parameters. It does not mention capture_path, bucket_seconds, or limit at all, leaving the agent to infer their meaning from names alone. This adds no value beyond the schema.

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 returns a 'protocol-count timeline' using 'bounded packet summaries'. The verb 'Return' and the resource are specific. However, it does not explicitly differentiate from sibling tools like stats_io or llm_protocol_inventory, though the name and context imply a timeline focus.

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 such as llm_protocol_summary or stats_protocol_hierarchy. There is no mention of prerequisites, context, or exclusions.

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