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speakai

Speak AI MCP Server

Official
by speakai

Get Chat Messages

get_chat_messages
Read-onlyIdempotent

Retrieve full chat message history with filtering by conversation ID, folder, media, or search text. Returns questions, answers, references, and metadata for analysis.

Instructions

Get full message history for conversations. Can filter by promptId for a specific conversation, by media/folder, or search across all chat messages. Returns questions, answers, references, and metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (0-based, default: 0)
queryNoSearch text in prompts and answers
folderIdNoFilter messages by folder ID
mediaIdsNoFilter by media IDs (comma-separated)
pageSizeNoResults per page (default: 25, max: 500)
promptIdNoFilter to a specific conversation by its ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds value by detailing return content (questions, answers, references, metadata) and confirming safety. No contradiction.

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 sentences, front-loaded with main purpose, no fluff. Efficient and well-structured.

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?

Given the presence of an output schema, the description adequately covers purpose, filtering options, and return content. No missing context for a read-only filtering tool.

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 description coverage is 100%, so baseline is 3. The description summarizes filtering but does not add new semantic meaning beyond the schema's param descriptions.

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 retrieves full message history for conversations and lists filtering options (promptId, media/folder, search). It distinguishes itself from sibling get tools like get_chat_history by emphasizing comprehensive filtering and return of questions, answers, references, and metadata.

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 explains when to use each filter (specific conversation via promptId, media/folder, or search across all). It does not explicitly mention when not to use or alternatives, but the context is clear enough for common use cases.

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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