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queue_topic_short_episodes

Read-only

Fill a Topic Short series episode queue. Add your own episodes, approve or skip proposed ones, and by default propose new episode angles that do not repeat earlier ones. Make an approved episode by passing its id as seriesEpisodeId to quote_topic_short and generate_topic_short. Does not render. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
proposeNoPropose new episode angles after the changes above. Default true.
episodesNoEpisodes to add, each approved.
seriesIdYesSeries id from create_topic_short_series.
skipEpisodeIdsNoProposed episode ids to skip.
approveEpisodeIdsNoProposed episode ids to approve.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
seriesYesThe series after this change, with episodes (id, title, angle, status, generationId, videoId). Pass an approved episode id as seriesEpisodeId to quote_topic_short and generate_topic_short.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior1/5

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

The description explicitly describes write operations — 'Fill a queue', 'Add your own episodes', 'approve or skip', 'propose new episode angles' — while annotations declare readOnlyHint=true. That is a direct inconsistency between the stated behavior and the structured safety profile, exactly the contradiction class flagged in the rubric. Useful extras ('Does not render', 'Free') do not offset the contradiction.

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?

Four short sentences, front-loaded with the core action and ending with the two constraints an agent most needs ('Does not render. Free.'). Dense and free of filler, though the compound opening sentence packs three operations together that could be split for scanability.

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?

An output schema exists, so return values need not be explained, and the schema covers all five parameters. The description supplies the workflow position (queue -> quote -> generate) and the cost/render caveats. The one unresolved item is the mutation semantics, which the annotations actively misstate.

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 every parameter (propose, episodes, seriesId, skipEpisodeIds, approveEpisodeIds) is already documented with defaults and limits. The description restates the propose default and the role of episode ids without adding format or constraint detail beyond the schema, which is the baseline case.

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?

Names a specific verb and resource ('Fill a Topic Short series episode queue') and enumerates the three operations available: add, approve/skip, propose. It goes further by distinguishing itself from the downstream siblings quote_topic_short and generate_topic_short, so an agent can place it correctly in the series workflow without opening a schema.

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?

Gives clear context ('Add your own episodes, approve or skip proposed ones') and an explicit handoff: 'Make an approved episode by passing its id as seriesEpisodeId to quote_topic_short and generate_topic_short.' It also states the default propose behavior. It stops short of stating exclusions or prerequisites (e.g., that a series must exist first), so it is strong but not exhaustive.

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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