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Speak AI MCP Server

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by speakai

Create Custom Field

create_field

Create a customizable field to categorize and tag media, supporting text, numbers, or select lists with AI auto-population.

Instructions

Create a new custom field for categorizing and tagging media.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name for the field
typeYesField type (text, number, select, etc.)
promptNoAI prompt used to auto-populate the field
descriptionNoOptional description for the field
otherValuesNoWhether values outside allowedValues are permitted
privacyModeNoPrivacy mode for the field
allowedValuesNoAllowed values for select/multi-select field types
allowedValuesModeNoWhether one or multiple allowed values can be selected
notApplicableValuesNoValue(s) treated as not-applicable

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior2/5

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

Annotations are entirely false, placing full burden on description, which discloses no behavioral traits like permissions, side effects, or validation behavior.

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?

Single sentence, 11 words, front-loaded with action, no wasted text.

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 having output schema and many parameters, description is too terse, omitting essential context like expected behavior, parameter significance, or operational constraints.

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; description adds no extra parameter meaning beyond what schema provides.

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 the tool creates a new custom field for categorizing and tagging media, differentiating from siblings like update_field and list_fields.

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?

No guidance is provided on when to use this tool over alternatives, nor any 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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