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Get Knowledge Redaction Policy

get_knowledge_redaction_policy
Read-onlyIdempotent

A notebook's automatic redaction policy for new uploads.

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": "get_knowledge_redaction_policy"
  }
}

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

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered and the bar is lower. The description adds one genuine behavioral nuance: the policy applies automatically to new uploads, implying it does not retroactively affect existing documents. It says nothing about what happens when no policy is configured or whether defaults are returned.

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 short with no filler, but it is an under-specified sentence fragment rather than a front-loaded statement of action and resource. The most useful information an agent needs first (that this retrieves the current policy) is absent.

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 simple read-only tool with one required parameter this could be adequate, but there is no output schema and the description never indicates what the returned policy contains or how to interpret an unset policy. Given the absence of an output schema, the description should carry more of that burden than a single noun phrase.

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%, including the meaning of app_id (defaulting to the owner's own Business Brain) and the provenance of notebook_id, so the baseline of 3 applies. The description contributes no additional parameter meaning beyond that.

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 description names the resource (a notebook's automatic redaction policy) but is a noun phrase with no verb, so the action (retrieve/read) is only inferable from the tool name and title. It does not distinguish itself from nearby siblings such as set_knowledge_redaction_policy, get_knowledge_redaction_log, or get_knowledge_redaction_run. The phrase 'for new uploads' adds some scope meaning but the purpose remains vague.

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 statement of when to call this tool, no prerequisites, and no mention of the obvious alternative (set_knowledge_redaction_policy for writing, get_knowledge_redaction_log for past redactions). The schema notes notebook_id comes from list_knowledge_notebooks, but that guidance lives in the schema, not the description.

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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