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AntonioBlago

VisiblyAI MCP Server

by AntonioBlago

regenerate_content_article

Queue paid regeneration for an eligible article by article ID; optional project ID and spending execution permission required.

Instructions

Queue paid regeneration for an eligible article; requires spending:execute.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
article_idYes
project_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.1

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose two meaningful traits: the operation is queued (asynchronous) and it is paid, requiring spending:execute. It does not say whether existing content is overwritten or recoverable, how the queued job is tracked, or the cost magnitude, so the disclosure is partial for a paid mutation.

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 tight sentence with the action front-loaded and the permission requirement trailing. Nothing is wasted, though the brevity contributes to the specification gaps noted elsewhere.

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 paid, asynchronous mutation with zero annotations and 0% schema coverage, the definition is thin: eligibility criteria, cost implications, and the optional project_id's effect are all missing. The presence of an output schema excuses it from documenting return values, but not from these usage-critical gaps.

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 0% for both parameters, so the description must compensate and does not. article_id is only obliquely implied by 'eligible article', and project_id (optional, default null) is entirely unexplained — an agent cannot tell whether omitting it applies a default project or a global scope.

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?

States a specific verb and resource — 'Queue paid regeneration' for an article — which cleanly separates it from generate_article_from_query and edit_content_article. It doesn't explicitly name a sibling to route against, but 'regeneration' plus 'queue' is a precise, distinguishable action.

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?

It names a precondition ('eligible article') and a required permission ('spending:execute'), which tells the agent this is a gated, paid action rather than a free edit. However it never defines what makes an article eligible, nor contrasts it with optimize_content_draft or edit_content_article. Guidance is implied rather than explicit.

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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