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VincentKaufmann

noapi-google-search-mcp

search_feeds

Find specific content across all stored feeds—articles, posts, tweets, transcripts—with full-text search supporting AND, OR, NOT, and quoted phrases. Optionally filter by source type and limit results.

Instructions

Full-text search across all stored feed content (articles, posts, tweets, transcripts).

Sample prompts that trigger this tool: - "Search my feeds for machine learning" - "Find mentions of GPT in my news feeds" - "What have my Reddit feeds said about Rust?" - "Search Twitter feeds for product launch" - "Look for arxiv papers about transformers in my feeds"

Args: query: Search query (supports FTS5 syntax: AND, OR, NOT, "quoted phrases"). source_type: Optionally limit to one type. Leave empty to search everything. limit: Max results to return (default 20).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
source_typeNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations, so description carries full burden. It discloses support for FTS5 syntax, optional source_type filter, and default limit. Does not mention error handling or performance, but adequate for a search tool.

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?

Concise and well-structured: purpose, sample prompts, then Args. Every sentence adds value. Front-loaded with purpose.

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

Completeness4/5

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

Given 3 params, no enums, and output schema exists, description covers usage and parameters. Missing enumeration of source_type values, but otherwise complete.

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 has 0% description coverage. Description adds meaning: query supports FTS5 syntax, source_type can limit to one type (but does not list options), limit with default. Adds value beyond schema names.

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 'Full-text search across all stored feed content' with examples of content types. Sample prompts and differentiation from siblings like 'get_feed_items' and 'search_transcript' are implicitly clear.

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?

Provides sample prompts indicating when to use, but does not explicitly state when not to use or compare to alternatives like 'search_transcript'.

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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