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cameronrye

Gopher & Gemini MCP Server

by cameronrye

gopher_batch_fetch

Fetch multiple Gopher URLs in parallel to improve performance. Returns responses in the same order as input URLs.

Instructions

Fetch multiple Gopher 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 menu items or related resources at once.

Args: urls: List of Gopher 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?

No annotations were provided, so the description carries full burden. It discloses parallelism via `asyncio.gather()` and mentions performance benefit. However, it omits details on concurrency limits, error handling, or behavior on failed URL fetches, 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, with only 5 sentences. It is front-loaded with the main purpose and structured with Args/Returns sections. Every sentence adds necessary information without redundancy or fluff.

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 the low complexity (1 parameter, no nested objects, output schema exists), the description covers the key aspects: what it does, how it works (parallel), and output ordering. It is missing limitations like max URLs or concurrency limits, but overall it is sufficient.

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 0%, so the description must compensate. It explains that `urls` expects 'List of Gopher URLs to fetch' and that the output is ordered. This adds significant meaning beyond the bare schema property name and type.

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 verb 'Fetch', resource 'multiple Gopher URLs', and the benefit 'in parallel for improved performance'. It distinguishes the tool from sequential fetching and siblings like `gopher_fetch` (single) and `gemini_batch_fetch` (different protocol).

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 provides clear context: 'Useful for fetching multiple menu items or related resources at once.' However, it does not explicitly state when not to use this tool (e.g., for a single URL, use `gopher_fetch`). Sibling tools are mentioned but no direct alternatives are given.

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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