splunk_optimize_spl

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

No annotations are provided, so the description carries the full disclosure burden and does not meet it. It never says whether the query is actually executed against the index (a cost/impact question), whether the operation is read-only, or what permissions are needed.

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 core sentence is front-loaded and waste-free. The separate Args block largely duplicates what the schema already declares, but the overall length is small.

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 one required parameter and an output schema present, the definition covers the essentials: what goes in, what comes out conceptually. The remaining gap is the execution/impact behavior, a meaningful but not fatal omission for a single-parameter tool.

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 only meaning comes from the description's line 'spl: SPL search string to optimize', which does clarify the expected content and intent. It adds nothing about form, e.g., whether a leading pipe, time-range clause, or generating command is accepted.

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 names a specific verb chain and resource: analyze an SPL query, detect anti-patterns, and emit an optimized version. That is far more informative than the tool name alone. It stops short of distinguishing itself from the many SPL-adjacent siblings (splunk_search_explain, splunk_natural_language_to_spl, splunk_detect_slow_searches).

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?

There is no statement of when to reach for this rather than splunk_search_explain or a plain search, and no prerequisites (e.g., does the query get executed, does it need a time range). A reader is left to infer the trigger condition from the verb 'optimize'.

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