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Content Pipeline Agent by Nova (CIVAI)

trigger_scan

Scan trends for a product and stage candidate seeds (level 1 of the pipeline).

Input Schema

NameRequiredDescriptionDefault
limitNo
product_idYesThe content product id (from list_products on Product Admin).
country_codeNo
lookback_hoursNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral burden. It discloses that the tool stages candidate seeds, implying a write side effect, but does not explain whether it starts an async job, what permissions are needed, whether staging is destructive, or what happens to existing seeds.

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 definition is a single front-loaded sentence with no wasted wording. It is efficient, though its brevity leaves important details unstated for a pipeline trigger.

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

Completeness2/5

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

For a four-parameter pipeline trigger with no annotations, no output schema, and incomplete parameter descriptions, this one-sentence description is inadequate. It does not fill the gaps around parameter meanings, async behavior, output, or usage relative to sibling tools.

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

Parameters2/5

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

Schema description coverage is only 25%, with only product_id documented. The description does not explain limit, country_code, or lookback_hours, so it fails to compensate for the low schema coverage and leaves most parameters semantically opaque.

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?

The description states a specific verb and resource: it scans trends for a product and stages candidate seeds. The parenthetical 'level 1 of the pipeline' implies a distinction from later-stage tools such as expand_seeds, but it does not explicitly name or contrast with any sibling.

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 'level 1 of the pipeline' implies this is the first step before downstream stages, but it does not explicitly say when to use this tool versus alternatives like expand_seeds or list_seeds. Usage is only indirectly inferable from pipeline ordering.

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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