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Speak AI MCP Server

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by speakai

Update Recorder Questions

update_recorder_questions
DestructiveIdempotent

Modify survey questions and respondent information settings for a recorder. Update fields like name, email, consent, and custom questions with required flags and answer types.

Instructions

Update the survey questions and respondent-info settings for a recorder.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoWhether to collect the respondent's name
emailNoWhether to collect the respondent's email
consentNoConsent screen: { isEnabled, title, description, yesButtonLabel, noButtonLabel, isRequired, fieldId? }
questionsYesSurvey questions. Each: { question, isRequired, answerType, options?, includeOther?, fieldId?, id? }
recorderIdYesUnique identifier of the recorder

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 already indicate destructiveHint=true, idempotentHint=true, readOnlyHint=false. Description adds no behavioral details beyond the schema, such as what happens to existing questions or respondent settings when updated.

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, no redundancy, efficiently conveys the tool's purpose. Every word serves a function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has nested objects and 5 parameters, but schema covers them fully and output schema exists. Description is adequate given the structured documentation, though it could hint at behavior like replacement behavior.

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 provides 100% coverage with descriptions for each parameter. Description does not add further semantic value beyond what the schema offers, so baseline score of 3 is appropriate.

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?

Description clearly states the action (update), the resource (survey questions and respondent-info settings), and the target (a recorder). It is specific and distinguishes from sibling tools like update_recorder_settings.

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 on when to use this tool versus alternatives (e.g., update_recorder_settings). No mentions of prerequisites or conflicting scenarios.

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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