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csrts

Metaso MCP Server

by csrts

metaso_search

Search the internet across webpages, documents, academic papers, images, videos, and podcasts using AI-powered search. Retrieve results with optional summaries or raw content.

Instructions

Search the internet using Metaso AI search engine. Supports multiple search scopes including webpages, documents, academic papers, images, videos, and podcasts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query content
scopeNoSearch scope/domainwebpage
pageNoPage number for pagination (mutually exclusive with size)
sizeNoNumber of results to return (mutually exclusive with page)
include_summaryNoWhether to include AI-generated summary
include_row_contentNoWhether to include raw webpage content
Behavior2/5

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

No annotations provided, so description carries full burden. Only states 'search the internet' without disclosing rate limits, authentication needs, side effects, or result format.

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 purpose, no redundant information.

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?

Despite 6 parameters and no output schema, the description omits details on pagination, mutual exclusion of page/size, and return value structure. Incomplete for effective use.

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?

Schema description coverage is 100%, so baseline is 3. The description adds value by elaborating on scope enum values (e.g., 'academic papers' for 'scholar') beyond the brief schema 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?

Clear verb 'search' and specific resource 'internet using Metaso AI search engine'. The list of supported scopes clearly differentiates from sibling tools like metaso_chat and metaso_reader.

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 vs alternatives (metaso_chat, metaso_reader). Lacks context for selection or exclusions.

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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