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Refresh topic ideas

refresh_topic_ideas
Destructive

Fetch fresh content from bounded Reddit subreddits and public HTTPS RSS feeds, spend paid model usage to score candidates, dedupe against published articles, and persist the keepers. Returns aggregate counts and at most five safe ideas; raw source errors are suppressed. Confirm sources and limits first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
blogIdYesTarget blog id
sourcesNoOverride the blog topicSources. If omitted, the blog `topicSources` field is used.
audienceNoAudience description. Defaults to the blog `context` field if omitted.
minScoreNoMinimum LLM score (0-10) to keep a candidate (default 5)
sinceHoursNoLookback window in hours (default 168 = 7 days)
perSourceCapNoCap on scored candidates per source (default: no cap)
limitPerSourceNoMax items fetched per source (default 25)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
savedYes
statusYes
fetchedYes
topIdeasYes
newCandidatesYes
sourceErrorCountYes
duplicatesSkippedYes
topIdeasTruncatedYes
alreadyPublishedSkippedYes
sourceErrorDetailsSuppressedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Adds substantial context beyond annotations: it spends paid model usage, applies dedupe against published articles, persists results, suppresses raw source errors, and caps returned ideas at five. These are behavioral facts not derivable from the annotations (which only say readOnly=false, destructive=true, openWorld=true, idempotent=false).

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?

A single dense sentence plus a short imperative sentence; it is front-loaded with the core action and keeps every clause meaningful. Slightly long but well-earned given the multi-step behavior described.

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?

Covers the full pipeline, side effects (persistence, paid usage), output shape (aggregate counts, max five ideas), and error suppression. An output schema exists so return format need not be re-explained. Given the destructive+non-idempotent+open-world annotations and 7 params, this is largely complete, though it could clarify irreversibility or auth requirements.

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%, so parameters are fully documented in the schema (defaults, ranges, nested sources object). The description adds no parameter syntax or meaning beyond what the schema already provides, so baseline 3 is appropriate.

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?

States a concrete multi-step pipeline (fetch, score, dedupe, persist) with a specific resource (topic ideas). Clearly distinguishable from list_topic_ideas (read-only listing) and set_topic_idea_status, which the name and description implicitly separate.

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?

Tells the agent to 'confirm sources and limits first,' which is a usable precondition. However it doesn't name alternatives (e.g., list_topic_ideas vs this refresh) or state when-not-to-use, so it falls short of the explicit routing that earns a 5.

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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