Skip to main content
Glama
csrts

Metaso MCP Server

by csrts

metaso_chat

Ask queries and get search-enhanced AI responses. Choose from multiple models and output formats.

Instructions

Chat with Metaso AI assistant. Get intelligent responses based on search-enhanced AI models. Supports multiple models and output formats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesQuestion or prompt for the AI assistant
modelNoAI model to use for the responsefast
scopeNoSearch scope for enhanced responses (webpage is default)
formatNoResponse formatchat_completions
streamNoEnable streaming output (for compatible formats)
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states that the tool returns responses but does not mention any side effects, authorization needs, rate limits, or whether the chat is stateless. The description is insufficient for the agent to assess potential impacts.

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 exceptionally concise, consisting of two short sentences that front-load the core purpose ('Chat with Metaso AI assistant') and then add relevant detail. Every sentence earns its place with no superfluous content.

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?

Given the tool has 5 parameters (including stream and scope) and no output schema, the description is too minimal. It does not explain the response format, behavior of streaming, or how the scope parameter affects results. The agent would need to infer these from the schema alone, which is insufficient.

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 the baseline is 3. The description adds 'search-enhanced AI models' and mentions multiple models/output formats, which slightly supplements the schema but does not provide significant new meaning beyond what the schema already offers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a chat interface with a Metaso AI assistant, using verbs like 'Chat' and 'Get'. However, it does not explicitly differentiate from sibling tools such as metaso_reader and metaso_search, which could cause confusion about the specific use case.

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 versus alternatives like metaso_search or metaso_reader. The description lacks any mention of appropriate contexts or exclusions, leaving the agent without decision-making support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/csrts/metaso-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server