List Wraps documentation
list_docsReturn the Wraps llms.txt index: every documentation page, product page, guide, and SDK reference with a one-line description.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_docsReturn the Wraps llms.txt index: every documentation page, product page, guide, and SDK reference with a one-line description.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds content-level transparency (what is returned: all pages with one-line descriptions) but no additional behavioral details like auth, pagination, or side effects. Given the strong annotation coverage, a mid-range score is appropriate.
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?
A single sentence that delivers all relevant information: what is returned, the scope, and the content format. No filler, no repetition, and the core purpose is front-loaded with 'Return the Wraps llms.txt index'.
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 parameterless, read-only listing tool with annotations already covering the safety profile, this description is complete. It explains the output contents clearly enough for an agent to decide whether to call it and to know what to expect, even though no output schema is provided.
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 input schema has zero parameters and schema description coverage is 100%, so there are no parameter semantics to clarify. The description is still useful for indicating that no filtering or arguments are needed, aligning with the baseline for parameter-free tools.
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 identifies the operation ('Return the Wraps llms.txt index') and specifies the exact scope: every documentation page, product page, guide, and SDK reference. This makes it easy to distinguish from siblings like get_doc or search_docs without needing to infer from the tool name.
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 clear context: use this tool when you want the complete index of all Wraps documentation. It does not explicitly name siblings or exclusion conditions, but the phrase 'every documentation page' makes the broad-list use case obvious, and there are no ambiguous edge cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.