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memvid_api_fetch

Fetch content from URLs and store it in memory files for AI agents to access and reference during interactions.

Instructions

Fetch content from a URL and add to memory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesPath to the .mv2 memory file
urlYesURL to fetch content from
titleNoCustom title for the fetched content
Behavior3/5

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

Annotations indicate this is a non-read-only, non-destructive, non-idempotent, open-world operation, which the description doesn't contradict. The description adds minimal behavioral context beyond annotations, such as implying it fetches and stores content, but doesn't detail aspects like rate limits, authentication needs, or how duplicates are handled. With annotations covering key traits, the description adds some value but lacks depth.

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 a single, concise sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action, making it easy to grasp quickly. Every part of the sentence contributes to understanding the tool's purpose.

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 tool has annotations covering safety and behavior, and a well-documented input schema, the description is somewhat complete but lacks output details (no output schema) and usage context. For a tool that modifies memory by fetching external content, more guidance on error handling or result format would improve completeness, but annotations provide a basic safety net.

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%, with clear descriptions for 'file', 'url', and 'title'. The description mentions 'URL' and 'memory', aligning with parameters, but doesn't add extra meaning like format specifics or usage tips. Since the schema already documents parameters well, the baseline score of 3 is appropriate as the description doesn't enhance parameter understanding beyond the schema.

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 states the action ('fetch content from a URL') and the outcome ('add to memory'), which is specific and actionable. However, it doesn't differentiate this tool from sibling tools like 'memvid_put' or 'memvid_put_many', which might also add content to memory, leaving some ambiguity about when to choose this specific tool.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, such as needing an existing memory file, or compare it to sibling tools like 'memvid_put' (which might add content from other sources). This lack of context makes it harder for an agent to decide when this tool is appropriate.

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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