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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

get_knowledge_base_bulk_dependent_agents_route

Retrieve dependent agents for multiple knowledge base documents in bulk. Specify document IDs and optional filters like type and page size to manage results.

Instructions

Get Dependent Agents For Multiple Documents

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNoUsed for fetching next page. Cursor is returned in the response.
page_sizeNoHow many documents to return at maximum. Can not exceed 100, defaults to 30.
document_idsYesThe ids of documents or folders from the knowledge base.
dependent_typeNoType of dependent agents to return.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior1/5

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

The description says 'Get', which implies a read-only retrieval, but the annotations declare readOnlyHint=false. This is a direct contradiction in the safety signal. The description also adds no behavioral context such as pagination, auth requirements, or what dependent_type returns.

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?

The definition is a single front-loaded sentence with no wasted words. Its brevity is appropriate structurally, though it contributes to gaps in other dimensions.

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?

Despite 100% schema coverage, the description omits how this bulk route differs from the singular dependent-agents tool and what 'dependent agents' actually returns. With no output schema and a contradictory read-only annotation, the definition is not complete enough for confident tool selection.

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%, with clear descriptions for cursor, page_size, document_ids, and dependent_type. The description adds no parameter meaning beyond the schema, so the baseline score of 3 applies.

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 uses a specific verb ('Get') and resource ('Dependent Agents') with a clear scope ('For Multiple Documents'). It implies the bulk variant, though it does not explicitly name the sibling singular tool get_knowledge_base_dependent_agents to sharpen differentiation.

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 explicit guidance on when to use this bulk tool versus the singular get_knowledge_base_dependent_agents or get_tool_dependent_agents_route. The scope 'For Multiple Documents' weakly implies usage but provides no exclusions or prerequisites.

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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