llm_top_talkers

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

No annotations are present, so the description must carry the full burden. It states the tool returns ranked talkers, suggesting a read-only analysis, but does not disclose side effects, required permissions, or whether the capture must already be loaded. This lack of detail hampers behavioral understanding.

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 with no extraneous text. It is concise, but at the expense of omitting crucial parameter and usage details. Still, it is well-structured and front-loaded.

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?

With only two parameters, no parameter descriptions, and an output schema whose details are unknown, the description leaves the agent guessing. It does not clarify what 'ranked' means, the format of the output, or how 'limit' affects results. The agent likely lacks sufficient information to invoke the tool correctly.

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 0%, and the description does not explain what 'capture_path' or 'limit' mean. 'Bounded packet sample' hints at the overall context but fails to add meaning beyond the schema field names. The agent has no guidance on how to set parameters correctly.

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 'Return ranked source-to-destination talkers from a bounded packet sample.' It uses a specific verb (return) and specific resource (ranked talkers). Among siblings, it is distinct from protocol-specific summaries (e.g., llm_dns_summary) and capture operations.

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 explicit guidance on when to use this tool versus alternatives like llm_capture_brief or capture_sample. It implies analysis of top talkers but does not mention when not to use it or describe prerequisites.

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