get_traffic_summary

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

No annotations provided, so the description carries the full burden. It discloses the output fields and provides behavioral interpretation of high/low frequency IDs, enhancing transparency about what the tool summarizes. It does not mention state changes, auth needs, or rate limits, but the tool appears read-only.

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?

Two concise sentences. The first sentence front-loads the core purpose and output fields. The second adds helpful interpretation. No filler or redundancy.

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 parameterless tool with no output schema, the description fully explains the output fields and provides useful frequency categorization. It is sufficiently complete for an agent to understand what will be returned.

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?

No parameters exist, so the schema is trivially covered. The description adds value by specifying what the summary includes (frame count, frequency, DLC, category) beyond the empty schema, justifying a baseline of 4.

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 action: summarize all captured message IDs, listing specific attributes (frame count, frequency, DLC, category). This distinguishes it from sibling tools that operate on individual messages (e.g., analyze_message, decode_frame).

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?

No explicit guidance on when to use this tool versus alternatives. It implies use for an overall traffic overview but doesn't mention exclusions or specific scenarios. The frequency interpretation hints at usage context but is not a direct guideline.

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