MCP Server for Splunk

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a list operation and mentions performance considerations ('default: 50 for performance'), but doesn't cover important aspects like authentication requirements, rate limits, error conditions, pagination behavior beyond offset, or what happens when filters yield no results.

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 appropriately sized with a clear two-part structure: purpose statement followed by parameter details. Every sentence earns its place, though the parameter section could be slightly more concise by integrating defaults into the main text rather than separate 'Default:' notes.

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 listing tool with 5 parameters and no output schema, the description adequately covers the purpose and parameters but lacks behavioral context (no annotations) and doesn't describe the return format beyond 'metadata including name, type...'. It's minimally viable but leaves gaps about how results are structured and tool behavior.

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?

With 0% schema description coverage, the description fully compensates by providing detailed parameter documentation in the Args section. Each of the 5 parameters is clearly explained with purpose, defaults, and examples (e.g., '0=all' for count, 'filename=*.csv' for search_filter), adding significant value beyond the bare 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 specific action ('List lookup definitions (transforms) in Splunk') and resource ('lookup definitions'), distinguishing it from sibling tools like list_lookup_files or list_saved_searches. It also explains what lookup definitions are ('specify how CSV files or external lookups are used in searches'), providing domain context.

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 guidance is provided on when to use this tool versus alternatives like list_lookup_files or list_configurations. The description mentions what lookup definitions are but doesn't specify use cases, prerequisites, or exclusions for this particular listing operation.

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