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elevenlabs_edit_project

Update Studio Project. Updates the specified Studio project by setting the values of the parameters passed.

Bulk support: accepts project_ids, default_title_voice_ids, default_paragraph_voice_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
titleNo
authorNo
accountNo
project_idYes
isbn_numberNo
project_idsNo
volume_normalizationNo
default_title_voice_idYes
default_title_voice_idsNo
default_paragraph_voice_idYes
default_paragraph_voice_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations indicate readOnlyHint=false, which aligns with the description's 'update' action, so no contradiction. The description adds the bulk support capability, which is useful behavioral context beyond annotations. However, it does not detail side effects like whether partial updates are allowed or if there are constraints on the update process.

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 description is brief and to the point: two sentences that state the purpose and bulk support. It is front-loaded with the core function, but the second sentence could be merged or expanded without issue. No wasted words, but it lacks detail.

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?

Given the large parameter count (12) and zero schema description coverage, the description is incomplete. It does not explain which parameters are updatable, how the bulk parameters interact with single parameters, or any constraints. With no output schema, it also fails to indicate return values. It is adequate only for a simple tool but falls short here.

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?

The schema description coverage is 0%, so the description must compensate, but it only mentions three bulk parameters (project_ids, default_title_voice_ids, default_paragraph_voice_ids) and does not elaborate on the meaning of required parameters like project_id, name, default_title_voice_id, and default_paragraph_voice_id. It provides minimal added value for the 12 parameters.

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 clearly states that it updates a Studio project with parameter values. It names the resource (Studio project) and the action (Update), which distinguishes it from other edit tools like edit_chapter, though it does not explicitly differentiate from those siblings.

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?

The description implies usage for updating Studio projects, but does not provide explicit guidance on when to use this tool versus alternatives like edit_chapter or create_podcast. There is no mention of prerequisites or conditions for use.

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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