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WeKnora MCP Dispatch

by mwe-support

create_knowledge_from_url

Create knowledge from a URL by extracting content into a specified knowledge base, with optional multimodal processing.

Instructions

Create knowledge from URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to create knowledge from
kb_idYesKnowledge base ID
enable_multimodelNoEnable multimodal processing
Behavior1/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It simply states 'Create knowledge', which implies mutation but provides no details about side effects, permission requirements, idempotency, return values, or whether the operation is asynchronous. This is a significant transparency gap for a creation tool.

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

Conciseness2/5

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

The description is extremely short, but it is under-specified rather than concise. It merely repeats the tool name and does not earn its place by conveying useful information. Every word is redundant, as the name already communicates the same idea.

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

Completeness1/5

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

Given the tool's moderate complexity (3 parameters, no output schema, no annotations), the description is woefully incomplete. It fails to explain the expected behavior, the nature of the returned data, or any prerequisites. An AI agent would have insufficient context to invoke this tool correctly or interpret its results.

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?

Schema description coverage is 100% for all three parameters (url, kb_id, enable_multimodal), so the input schema already documents parameter meanings. The tool description adds no extra semantic value on top of the schema, so the baseline score of 3 is appropriate.

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

Purpose2/5

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

The description 'Create knowledge from URL' is essentially a restatement of the tool name 'create_knowledge_from_url'. It does not add any detailed explanation of what 'knowledge' means or what the creation process entails. While it mentions the source (URL), it fails to distinguish itself from siblings beyond that single word, offering no additional scope or purpose clarity.

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?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of when to choose URL-based creation over file-based creation (sibling create_knowledge_from_file) or any other context. No exclusions or alternative tool references are given.

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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