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List Knowledge Notes

list_knowledge_notes
Read-onlyIdempotent

The notes written in a notebook, with their full text.

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_notes"
  }
}

Input Schema

NameRequiredDescriptionDefault
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

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds that the full note text is returned, which is useful beyond the annotations, but it says nothing about pagination, result limits, ordering, or whether the notebook must exist or be accessible.

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 sentence with no padding, which is good, but it is a sentence fragment that is under-specified rather than efficiently informative. The 'full text' detail is front-loaded but the core action verb is missing.

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

Completeness3/5

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

This is a simple two-parameter read tool with no output schema, so the burden on the description is modest and the schema covers the parameters fully. Still, an agent gets no sense of return volume, ordering, or behavior when a notebook has many notes, which matters for a list tool.

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%: both app_id and notebook_id are documented, including the default Business Brain fallback and the pointer to list_knowledge_notebooks. The description adds no further meaning about either parameter, so the baseline of 3 applies.

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 phrase 'The notes written in a notebook, with their full text' identifies the resource (notes within a notebook) and one distinguishing trait (full text rather than summaries). However it is a noun fragment with no verb and no differentiation from siblings such as list_knowledge_notebooks, read_knowledge_document, or ask_knowledge_notebook, which an agent must guess between.

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?

There is no when-to-use guidance, no exclusions, and no mention of alternatives. An agent cannot tell from the description whether to call this or read_knowledge_document for the same notebook, or when list_knowledge_notebooks should come first.

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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