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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

get_documentation_from_knowledge_base

Read-onlyIdempotent

Retrieve a document from an ElevenLabs knowledge base by its documentation ID, optionally scoped to an agent, to access stored reference content.

Instructions

Get Documentation From Knowledge Base

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNo
documentation_idYesThe id of a document from the knowledge base. This is returned on document addition.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered by structured data. The description contributes nothing beyond that — no note on what the returned document contains, whether the id must come from add_documentation_to_knowledge_base, or any failure behavior for a stale id.

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

Conciseness2/5

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

It is a single short line, so there is no waste — but there is also no content. This is under-specification rather than conciseness, since the one sentence merely echoes the tool name.

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 read tool with no output schema and only 50% parameter coverage, the description should carry real weight: what a 'documentation' object is, the role of agent_id, and how this differs from the chunk-level siblings. None of that is present, so an agent has almost nothing to act on beyond the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50%: documentation_id is documented as the id returned on document addition, but agent_id has no description anywhere. The prose adds no parameter meaning at all, so the undocumented half stays undocumented and the description fails to compensate for the gap.

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

Purpose2/5

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

The description is a verbatim restatement of the tool name and annotation title ('Get Documentation From Knowledge Base'), which is the definition of a tautology. It does not distinguish this tool from near-identical siblings like get_documentation_chunk_from_knowledge_base or get_documentation_chunks_from_knowledge_base, leaving an agent to guess which granularity to use.

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 versus retrieving chunks, listing the knowledge base, or searching its content. The only implied usage is the trivial 'retrieve one document', with no prerequisites, no exclusions, and no named alternatives among the dozens of knowledge-base siblings.

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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