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kwgoodwin

Clearon Content Archive MCP

by kwgoodwin

generate_content_inventory

Produce a structured inventory of archive, publication, social, topic, correction, and voice-example counts. Get a current snapshot to verify content history and identify coverage gaps.

Instructions

Generate a current structured inventory of archive, publication, social, topic, correction, and voice-example counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It communicates that the tool produces counts across multiple content categories, implying a read-only aggregate operation, but it does not disclose whether it creates a persistent artifact, whether it performs live queries, or what the response structure looks like.

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?

The description is a single, clear sentence that leads with the action and immediately specifies the content categories covered. Every word adds value and there is no redundant or extraneous text.

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?

For a zero-parameter tool, the description adequately explains what is produced: a structured inventory of counts for six listed categories. Since there is no output schema, a slightly more explicit statement of the return format or that this is a read-only snapshot would improve completeness, but it is largely sufficient.

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?

The input schema has zero parameters, so there is no parameter documentation burden on the description. The baseline of 4 applies because the tool takes no inputs and requires no parameter explanation.

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?

The description uses a specific verb ('Generate') and resource ('current structured inventory') and enumerates exactly which categories are counted: archive, publication, social, topic, correction, and voice-example. This clearly distinguishes it from sibling tools that operate on individual records.

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?

The phrase 'current structured inventory' implies this is for obtaining an aggregate overview rather than a specific record, which gives some usage context. However, the description does not explicitly state when to use this tool vs alternatives like get_content_record or search_content_archive.

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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