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Glama

Freshrss Ingest Subscriptions

freshrss_ingest_subscriptions

Ingest FreshRSS subscriptions via the GReader API into epistemic-graph as typed FeedSubscription and FeedCategory nodes. Best-effort: returns no data if no engine is reachable.

Instructions

Natively ingest FreshRSS subscriptions into epistemic-graph as typed nodes.

Lists feed subscriptions via the GReader API and pushes them as :FeedSubscription nodes with their :FeedCategory folders and :inCategory links. Best-effort: returns {"ingested": None} when no engine is reachable. CONCEPT:AU-KG.ingest.enterprise-source-extractor.

Input Schema

NameRequiredDescriptionDefault
params_jsonNoJSON string of options (currently none; reserved).{}

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.3.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does usefully disclose best-effort semantics and the exact degenerate return shape ({"ingested": None}) when no engine is reachable. However, for a graph-mutating tool it says nothing about idempotency, duplicate handling, overwrite vs append behavior, or required auth/engine state, leaving significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core behavior and the best-effort caveat are front-loaded in three tight sentences with no filler. The trailing concept tag 'CONCEPT:AU-KG.ingest.enterprise-source-extractor' reads as internal jargon that adds little for an invoking agent, which slightly dilutes an otherwise efficient description.

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?

An output schema exists so return-value documentation is not required, and the description does explain the one unusual return case. Still, for an unannotated ingest/mutation tool it omits behaviors an agent needs (idempotency, re-run effects, prerequisites), so it is adequate but not complete.

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% and the single param is documented in the schema as a reserved, currently empty JSON options string, so the description adds nothing but loses nothing by omitting it. Baseline 3 applies when the schema fully documents the parameters.

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?

States a specific verb ('ingest') and resource ('FreshRSS subscriptions'), and details the target graph structure (:FeedSubscription nodes, :FeedCategory folders, :inCategory links). The plural resource noun makes it distinguishable from the sibling freshrss_ingest_items, though that distinction is left implicit rather than called out.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the purpose statement (ingest subscriptions into the graph), but there is no explicit when-to-use or when-not-to-use guidance, and no mention of the alternative freshrss_ingest_items or freshrss_subscription_list. The agent must infer which ingest tool applies from the resource noun alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.