get_causal_chains

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

No annotations provided, but description discloses several behavioral traits: deduplicates by operation, returns top 10 by default, TSC-compressed by default, works with live/offline DBs, and clarifies 'since' parameter scope. Adds value beyond implicit assumptions.

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?

Three sentences: purpose and outputs, deduplication and defaults, parameter usage and DB context. No wasted words; front-loaded with key actions and outputs.

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?

Despite no output schema, description mentions return fields (severity, root cause, recommendations) and covers all parameter contexts. Lacks explicit return format but is fairly complete given complexity.

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 100%, but description adds real-world context (e.g., 'Omit since for saved DBs', 'top_n adjusts default 10') that enhances understanding beyond schema descriptions.

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 explicitly states the tool analyzes CUDA + host events and returns causal chains with severity, root cause, and recommendations, clearly differentiating it from siblings like get_check or get_stacks.

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?

Provides specific usage guidance: works with live/saved DBs, omit 'since' for saved DBs, and deduplication defaults. However, it does not explicitly explain when not to use it or name alternatives.

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