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NicolasPrimeau

Artel

by NicolasPrimeau
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

feed_subscribe

Subscribe to an RSS or Atom feed to automatically write new items into project-scoped memory with tags and configurable polling.

Instructions

Subscribe to an RSS or Atom feed. New items are written to memory automatically.

Each item is written with confidence=0.5 and tagged 'feed-item' + 'unprocessed'. The archivist will synthesize and clean up over time. Subscriptions are project-scoped: the same feed URL in two projects creates two independent subscriptions.

Args: url: RSS or Atom feed URL. name: Human-readable name shown in each memory entry (e.g. "Claude Code releases"). project: Project to write feed memories into. Required. tags: Additional tags applied to every memory entry from this feed. interval_min: How often to poll in minutes (default 30, max 1440). max_per_poll: Max new items to ingest per poll cycle (default 20, max 100).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesRSS or Atom feed URL.
nameYesHuman-readable name shown in each memory entry (e.g. "Claude Code releases").
projectYesProject to write feed memories into. Required.
tagsNoAdditional tags applied to every memory entry from this feed.
interval_minNoHow often to poll in minutes (default 30, max 1440).
max_per_pollNoMax new items to ingest per poll cycle (default 20, max 100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Tool Definition Quality

A4.5/5.0
Behavior4/5

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

Discloses details beyond annotations: confidence, tags, archivist cleanup, project-scoping. No contradiction with annotations.

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?

Front-loaded with clear summary, followed by structured parameter list. Every sentence adds value, no waste.

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

Completeness5/5

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

Covers all aspects: behavior, parameter details, project-scoping, polling intervals. Output schema exists, so return values are covered.

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 coverage is 100%, and description adds context like 'Required' and default values beyond 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?

Clears states it subscribes to RSS/Atom feeds and writes items to memory. It distinguishes from siblings like feed_list and feed_unsubscribe by focusing on subscription creation and behavior.

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?

Explicitly describes when to use (subscribe to feeds) and project-scoping, but lacks explicit 'when not to use' or alternatives.

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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