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Read-only

Enumerate doc paths in a category/namespace. Use to discover what exists before calling get_document or a targeted grep_docs. NOT a content search — use semantic_search for behavior/concept lookups or grep_docs for token lookups. Returns {path, title, chunks}[].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNo
namespaceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / category / enum
      Previous value: -[
      -  "natives",
      -  "vorp",
      -  "rsgcore",
      -  "oxmysql",
      -  "discoveries",
      -  "jo_libs",
      -  "guides",
      -  "learnings"
      -]New value: +[
      +  "natives",
      +  "vorp",
      +  "rsgcore",
      +  "oxmysql",
      +  "discoveries",
      +  "jo_libs",
      +  "cfx",
      +  "guides",
      +  "learnings"
      +]
  2. Changed2 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

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 real behavioral value by disclosing the return shape ({path, title, chunks}[]) and by stating this is not a content search, though it says nothing about result volume or pagination for large namespaces.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, each load-bearing: purpose, routing constraints, and return contract. The core action is front-loaded and there is zero filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description usefully supplies the return shape and the routing context, and read-only annotations cover the safety side. The only meaningful omission is namespace semantics, which matters for a discovery tool that will likely be called with namespace values the agent must infer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for both parameters. The description only echoes the parameter names ('category/namespace') and adds no meaning—it never explains what a namespace is, how it relates to category, or whether omitting both lists everything. The category enum self-documents in the schema, so the undocumented free-text namespace is the real gap the description fails to close.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (enumerate) and resource (doc paths) scoped to a category/namespace, and explicitly positions itself against get_document, grep_docs, and semantic_search so an agent can differentiate it without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use (discover what exists before fetching) and two explicit when-not-to-use routes with named alternatives: semantic_search for concept lookups and grep_docs for token lookups. This is close to ideal routing guidance.

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

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