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AntonioBlago

VisiblyAI MCP Server

by AntonioBlago

get_content_query

Read a content query's context and optionally fetch a bounded, paginated saved draft by query ID for use in content or SEO workflows.

Instructions

Read query context and optionally a bounded, paginated saved draft.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_idYes
project_idNo
draft_limitNo
draft_offsetNo
include_draftNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.1

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose useful traits: the read is bounded and paginated and the draft is optional, implying a read-only fetch. However, it says nothing about auth, permissions, or what 'context' contains, leaving real gaps.

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 front-loaded sentence with no wasted words. It is efficient, though arguably so terse that it omits information the agent needs.

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?

An output schema exists so return values need not be described, but with 5 parameters at 0% coverage and no annotations, the description is too thin to fully specify correct invocation.

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%, so the description must compensate, but it only loosely alludes to include_draft ('optionally') and the pagination params ('bounded, paginated'). query_id and project_id get no explanation at all.

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 names a specific verb (Read) and resource (query context, plus an optional saved draft), which distinguishes it from create_content_query, save_content_query_draft and list_content_queries. It is clear enough to select, though 'query context' remains somewhat abstract.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance and no mention of alternatives such as get_content_briefing or list_content_queries. The agent must infer the use case from the resource name alone.

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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