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WeKnora MCP Dispatch

by mwe-support

list_chunks

Get a paginated list of chunks from a knowledge base using its knowledge ID. Use to browse or analyze content pieces.

Instructions

List chunks of knowledge

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number
page_sizeNoPage size
knowledge_idYesKnowledge ID
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the action without mentioning read-only nature, return format, pagination behavior, or any side effects. This is minimal disclosure.

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

Conciseness4/5

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

The description is a single, concise sentence with no redundancy. It is front-loaded and easy to parse, though it is very brief and adds little beyond the tool name.

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

Completeness2/5

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

The description is inadequate for the tool's complexity. It does not explain that chunks belong to a specific knowledge_id, what constitutes a chunk, or what the response contains. No output schema or annotations exist, so the agent lacks critical context.

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 provides descriptions for all three parameters (knowledge_id, page, page_size), so the baseline is 3. The description adds no additional meaning about how the parameters relate to the tool's function.

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

Purpose4/5

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

The description clearly states the action 'List chunks of knowledge' with a specific verb and resource. However, it does not explicitly differentiate from sibling tools like list_knowledge or list_knowledge_bases, nor does it mention that chunks are scoped to a knowledge_id.

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

Usage Guidelines2/5

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

No usage guidance is provided. The description does not state when to use this tool over alternatives, what prerequisites exist (e.g., a valid knowledge_id), or any exclusions.

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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