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rfbatista

document-manager-mcp

by rfbatista

list_docs

List available product documentation files. Optionally filter by doc type to find specific feature specs, JTBD, user stories, or API docs.

Instructions

List documentation files. Optionally filter by doc type (feature-specs, jtbd, user-stories, api).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docTypeNoFilter by document type. Omit to list all types.
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It communicates a read-only listing operation and the filter, but does not disclose return format (e.g., whether it returns full doc contents or metadata), sorting, pagination, or potential error cases. This is adequate for a simple list but not rich.

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?

The description is two short sentences, immediately conveys the action and filter, and contains no filler. It is well-structured and front-loaded.

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?

For a tool with a single optional parameter and no output schema, the description covers the core purpose and filtering. However, the lack of return value explanation and absence of guidance vs. search_docs leaves some contextual gaps, though minor.

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

Parameters3/5

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

The input schema already fully documents the 'docType' parameter with enum values and a description. The tool's description repeats the enum list but adds no additional semantics beyond what the schema provides.

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?

The description clearly states the tool's function with a specific verb ('List') and resource ('documentation files'), and the optional filter by doc type adds a distinct scope. It differentiates from siblings like read_doc and write_doc, which imply targeting specific docs.

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

Usage Guidelines3/5

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

The description implies usage for enumerating documentation files, optionally filtered by type. However, it does not explicitly state when to prefer this over search_docs or how it differs from reading a single doc. No alternatives or exclusions are mentioned.

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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