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crawl_website_knowledge

Fetch a URL and index its content as a knowledge source (same crawl used by the dashboard's URL-import and the Developer API's POST /api/v1/knowledge).

Input Schema

NameRequiredDescriptionDefault
urlYes
bot_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden, yet it says nothing about whether the crawl is synchronous or async, what happens on re-crawling an existing URL (duplicate/overwrite), what permissions or auth are required, or how long indexing takes. The dashboard/API equivalence is mildly useful context but isn't behavioral disclosure. For an ingestion mutation this is a notable gap.

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?

One compact sentence with the action front-loaded and detail confined to a parenthetical. Nothing is padded, though the parenthetical spends its words on tooling lineage rather than on the parameter and behavior information the agent actually needs.

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?

For a two-required-parameter mutation tool with no annotations, no output schema, and 0% parameter coverage, the description is thin. It omits bot_id entirely, doesn't indicate how to verify the result (e.g. via get_knowledge_sync_status or list_knowledge_sources), and gives no expectations about timing or failure modes.

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 coverage is 0% and the description only implicitly covers 'url' via 'Fetch a URL'. The required bot_id — which bot/chhatbot the knowledge attaches to — is never mentioned in the description or the schema, leaving a critical required parameter completely undocumented.

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?

Names a specific action pair (fetch a URL, index as knowledge source) and frames the outcome clearly as knowledge ingestion. It does not distinguish itself from sibling ingestion tools like upload_knowledge_document or add_chatbot_knowledge, so an agent can't route between them from the description alone. The purpose itself is unambiguous.

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?

'Index its content as a knowledge source' implies the when (importing web content into a bot's knowledge base), but there are no explicit when-not conditions and no alternatives named. The parenthetical compares it to a dashboard feature and an API endpoint rather than to sibling tools, which doesn't help the agent choose between them.

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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