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create_batch

Plan up to six curated anime topics for video shorts or romance series. Specify topics and optional series to organize content batches.

Instructions

Plan at most six curated topics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seriesNo
topicsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.6/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The single sentence 'Plan at most six curated topics' reveals no side effects, permissions, mutation, or outcome. It does not even clarify whether the tool actually creates something (despite its name) or only plans. This is a critical gap for a tool in a content production pipeline.

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

Conciseness2/5

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

The description is only one sentence, which is concise, but it is under-specification rather than efficient structure. It does not front-load key information like the tool's relationship to a batch or series. A single vague sentence is not structured enough to guide an agent effectively.

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

Completeness1/5

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

With no annotations, no output schema, and only minimal parameter information, the description is wholly inadequate. It does not explain what a 'batch' is, what 'plan' entails, how the topics are used, or how this tool fits into the workflow with siblings like create_episode or render_episode. An agent has almost no context to use this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It mentions 'topics' implicitly but offers no meaning for the 'series' parameter, which is left entirely unexplained. The constraint 'at most six' hints at a limit on the topics array, but this is not clear and does not help with parameter formats or usage. The description adds minimal value beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb ('Plan') and a resource ('curated topics') with a constraint ('at most six'). It is not a tautology, but it is vague: it does not explain what a 'batch' is or how planning topics relates to the tool's name 'create_batch'. It also fails to differentiate from sibling tools like create_episode or create_romance_series, which likely also involve planning content.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions. An agent cannot determine whether to choose create_batch over research_episode or write_script based on this description alone.

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