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speakai

Speak AI MCP Server

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by speakai

Get Media Statistics

get_media_statistics
Read-onlyIdempotent

Retrieve workspace-level media statistics including total counts, processing status breakdown, and storage usage.

Instructions

Get workspace-level media statistics — total counts, processing status breakdown, storage usage, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 destructiveHint, making the tool's safety profile clear. The description adds valuable context about the type of statistics returned (counts, processing status, storage usage), which enhances understanding beyond annotations.

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 a single sentence that efficiently communicates the tool's purpose. It is front-loaded with the key action and resource, with no extraneous 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?

Given the absence of parameters, the presence of an output schema (indicated but not shown), and comprehensive annotations, the description fully covers the tool's functionality. It provides enough information for an AI agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has no parameters, so the description does not need to explain them. The tool's behavior is fully captured by the lack of parameters and the description of the output.

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 workspace-level media statistics, including total counts, processing status breakdown, and storage usage. It uses a specific verb ('get') and resource ('media statistics'), distinguishing it from sibling tools like 'list_media' which lists individual media items.

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

Usage Guidelines3/5

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

The description implies usage for obtaining aggregated media statistics but does not explicitly state when to use this tool over alternatives, nor does it provide exclusions or context about when not to use it.

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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