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Speak AI MCP Server

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by speakai

Bulk Rename Speakers Across Files

bulk_update_transcript_speakers
DestructiveIdempotent

Update or rename speaker labels across multiple media files at once, applying the same speaker mappings to every specified file. Ideal for batch renaming speakers in a project or folder.

Instructions

Update or rename speaker labels across multiple media files in a single operation. Applies the same speaker mappings to every specified media file. Use this instead of calling update_transcript_speakers repeatedly when renaming speakers across a project or folder.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mediaIdsYesArray of media IDs to update speakers for (max 500 per call)
speakersYesArray of speaker ID to name mappings to apply to all specified media files

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior3/5

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

Annotations already indicate destructiveHint=true and readOnlyHint=false, so the description doesn't need to reiterate. It adds minimal behavioral context beyond batch operation. No contradictions.

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?

Two concise sentences front-loading the purpose and then usage guidance. No redundant words.

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?

Tool has an output schema, so return value details are covered there. The description adequately covers purpose, usage, and parameters for a batch update tool, making it complete for agent invocation.

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 coverage is 100%, so baseline is 3. The description does not add meaning beyond the schema; it just restates that the same mappings apply to all specified files.

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

Purpose5/5

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

The description clearly states updating/renaming speaker labels across multiple media files in a single operation, using specific verbs and distinguishing itself from the sibling tool update_transcript_speakers by noting this tool is for batch operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use this instead of calling update_transcript_speakers repeatedly when renaming speakers across a project or folder, providing clear when-to-use and an alternative.

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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