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List Knowledge Chats

list_knowledge_chats
Read-onlyIdempotent

The conversations held with a notebook, newest first.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "notebook_id": "<notebook_id>"
    },
    "name": "list_knowledge_chats"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
app_idNoOptional app whose notebooks to use. Omitted: the owner's own Business Brain.
notebook_idYesThe notebook id, from list_knowledge_notebooks.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds one genuinely new behavioral fact, the newest-first ordering, but says nothing about pagination, what happens at the limit cap, or whether empty notebooks return an empty list.

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

Conciseness3/5

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

It is a single short fragment with no padding, so nothing is wasted, but it is under-specified rather than concise. Being front-loaded is moot when there is only one clause, and it is not a grammatical sentence.

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 three-parameter read tool with full annotations and no output schema, the description should at least cover pagination behavior (limit default 50, max 200, and how to fetch more) and confirm the return shape is a list of conversations. Those gaps leave an agent able to call it but unsure how to page through 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 coverage is 67%: notebook_id and app_id are documented in the schema (including the app_id default of the owner's own Business Brain), and limit is bounded by explicit minimum/maximum/default constraints. The description adds no parameter meaning at all, so baseline 3 applies given the schema already carries the load.

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

Purpose3/5

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

The fragment 'The conversations held with a notebook' identifies the resource and scope (scoped to a notebook) and 'newest first' implies enumeration, but there is no explicit verb and no differentiation from nearby tools such as get_knowledge_chat or list_knowledge_notebooks. An agent can guess it lists chats, but it has to infer that from the schema rather than the text.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. It never says to use get_knowledge_chat for a single conversation or ask_knowledge_notebook when the goal is to query rather than enumerate, and it does not state that notebook_id must be obtained first, even though the schema description does.

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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