MCP Server for Splunk

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does well by describing the four output formats and what each provides, specifying the default behavior ('detailed' format), and indicating this is a read-only documentation tool. However, it doesn't mention potential limitations like response size or performance characteristics.

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 well-structured with clear sections (Output Formats, Key Information Provided, When to use, Arguments, Outputs) and front-loads the core purpose. While comprehensive, some sections could be more concise, such as the 'Key Information Provided' list which repeats information from earlier in the description.

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?

Given the tool's moderate complexity (single optional parameter, no output schema), the description provides substantial context about what information is returned, when to use the tool, and how different formats work. The main gap is the lack of output schema, but the description compensates by detailing what each format provides.

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?

The schema has 0% description coverage for its single parameter, but the description compensates well by documenting the 'format_type' parameter with its four possible values and explaining what each format provides. It also specifies the default value and gives semantic meaning to each option beyond just listing enum values.

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 tool's purpose with specific verbs ('Get comprehensive requirements and schema information') and resources ('for creating custom workflows'). It distinguishes itself from sibling tools like 'workflow_builder' or 'workflow_runner' by focusing on documentation and schema retrieval rather than creation or execution.

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 includes an explicit 'When to use' section with three specific scenarios: at the beginning of authoring, during development for quick reference, and in CI/validation tooling. It also distinguishes this tool from alternatives by specifying it's for understanding requirements rather than building or running workflows.

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