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List knowledge bases

workbench_kb_list
Read-only

Lists every knowledge base in the active workspace the caller can see. Returns summaries (id, name, description, status, doc/chunk counts, embedding model). Use an id with workbench_kb_search to retrieve content.

Input Schema

NameRequiredDescriptionDefault
workspaceNoWorkspace slug. Personal tokens with no default workspace MUST pass this; tokens with a default can override per call. Ignored for workspace API keys (workspace is intrinsic).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral context beyond that: visibility scoping ("the caller can see") and, importantly, the exact shape of each returned summary, which matters because there is no output schema.

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

Conciseness5/5

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

Three tight sentences: scope first, then return shape, then the follow-up action. Every clause earns its place, and the return-field enumeration substitutes for the missing output schema rather than padding.

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

Completeness5/5

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

For a one-parameter read-only list tool with no output schema, the description covers scope, visibility, returned fields, and the natural next call. Combined with full schema coverage and read-only annotations, nothing an agent needs to invoke it correctly is missing.

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?

The single `workspace` parameter has 100% schema description coverage, including the personal-token vs workspace-API-key rules, so the schema already carries the semantics. The description's phrase "in the active workspace" is consistent with that but adds no format or override guidance beyond it — baseline 3 for a well-documented schema.

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?

The description gives a specific verb and resource ("Lists every knowledge base") plus an explicit scope ("in the active workspace the caller can see"), so an agent immediately knows what it returns. It routes to `workbench_kb_search` for content retrieval, but never contrasts itself with the closest sibling, `workbench_kb_get` (single-KB fetch), so differentiation is only partial.

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?

Usage is only implied: the reader infers this is the entry point for discovering KB ids, and the sentence "Use an id with `workbench_kb_search` to retrieve content" gives a useful downstream next step. There is no explicit when-to-use/when-not statement and no mention of prerequisites or empty-workspace behavior.

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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