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cameronrye

Gopher & Gemini MCP Server

by cameronrye

gemini_batch_fetch

Fetch multiple Gemini URLs concurrently to improve performance. Use this to batch fetch pages or related resources at once.

Instructions

Fetch multiple Gemini URLs in parallel for improved performance.

Uses asyncio.gather() to fetch all URLs concurrently, which is much faster than fetching them sequentially. Useful for fetching multiple pages or related resources at once.

Args: urls: List of Gemini URLs to fetch

Returns: List of responses in the same order as the input URLs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description carries the burden. It discloses parallel execution via asyncio.gather(), ordering preservation, and the batch nature. However, it omits critical behavioral details like error handling, timeouts, concurrency limits, or partial failure semantics, which are important for a batch 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?

The description is concise and well-structured: a one-line purpose, a brief benefit explanation, then clear Args and Returns sections. Every sentence adds value, with no redundancy or filler.

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

Completeness3/5

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

Given the complexity of a batch tool (with potential for partial failures, rate limits, and ordering guarantees), the description covers core purpose and parameter but lacks important context about error behavior, timeout limits, or how the tool handles invalid URLs. The presence of an output schema (though unknown) slightly reduces the burden for return values, but the description still leaves gaps.

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

Parameters2/5

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

The sole parameter 'urls' is described as 'List of Gemini URLs to fetch', which adds minimal value beyond the schema's type definition (array of strings). With 0% schema description coverage, the description should provide constraints like max size, URL format, or protocol details, but it does not.

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 fetches multiple Gemini URLs in parallel, using a specific verb ('Fetch') and resource ('Gemini URLs'). It distinguishes itself from sibling tools like 'gemini_fetch' (single fetch) and 'gopher_batch_fetch' (different protocol) by explicitly mentioning Gemini and parallel execution.

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 this tool: fetching multiple URLs at once for performance, contrasting with sequential fetching. It provides context like 'much faster than fetching them sequentially' but lacks explicit when-not-to-use guidance or alternative tool references. However, the sibling tool names imply single vs batch usage.

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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