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speakai

Speak AI MCP Server

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by speakai

Export Chat Answer

export_chat_answer

Export a specific Magic Prompt answer to save AI-generated summaries, reports, or analysis results in txt, docx, pdf, or md format.

Instructions

Export a specific Magic Prompt answer. Useful for saving AI-generated summaries, reports, or analysis results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileTypeYesExport file format
promptIdYesID of the conversation to export
messageIdYesID of the specific message/answer to export

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 all false, meaning the tool may have side effects (not read-only, not idempotent, potentially destructive). The description merely says 'Export' without explaining backend behavior (e.g., whether it creates a file, downloads, or triggers generation). This lack of disclosure could mislead the agent about side effects.

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?

The description is two sentences, front-loaded with the primary action and resource. Every sentence adds value without unnecessary fluff.

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

Completeness3/5

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

While an output schema exists (not shown), the description lacks information about behavioral aspects such as side effects, required permissions, or what the export returns (e.g., download URL, file content). For a tool with three required params and no behavioral disclosure, it is minimally adequate but incomplete.

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% with clear descriptions for each parameter. The description adds a use case context ('AI-generated summaries') but does not provide additional semantic value beyond what the schema already states. Baseline 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 verb 'Export' and the specific resource 'Magic Prompt answer', making the action unambiguous. It distinguishes from sibling tools like 'ask_magic_prompt' (which generates answers) and 'get_chat_messages' (which retrieves messages without export).

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

Usage Guidelines4/5

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

The description provides context on when to use the tool ('saving AI-generated summaries, reports, or analysis results'). However, it does not explicitly state when not to use it or mention alternative tools for similar exports (e.g., 'export_media').

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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