Skip to main content
Glama
AntonioBlago

VisiblyAI MCP Server

by AntonioBlago

get_content_status

Check the analysis status of a content query and its article generation state. Read-only, returns no text, uses zero credits.

Instructions

Analysis status of a content query plus article generation state, no texts. Credits: 0, read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_idYes
project_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.1

TDQS

B3/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose two useful traits: 'Credits: 0' (no cost) and 'read-only' (safe, non-mutating), which is meaningful for a status call. However, it says nothing about polling cadence, terminal states, or what happens when the query_id is unknown/invalid.

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 compact sentence that front-loads the resource and ends with the two most decision-relevant facts (no texts, free, read-only). No filler, though 'no texts' is slightly telegraphic.

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

Completeness3/5

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

An output schema exists, so return-value detail is not required, and the read-only/free framing covers behavior adequately for a status tool. The remaining gap is parameter documentation, particularly the optional project_id, which is undocumented everywhere.

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 and does not. The required query_id is only loosely implied by 'a content query', and the optional project_id is entirely unexplained, leaving the agent to guess whether it scopes the lookup.

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 resource (analysis status of a content query) plus article generation state, which distinguishes it from get_content_query and list_content_queries. The 'no texts' qualifier usefully signals it is a metadata-only view. It stops short of naming a verb but the name supplies 'get'.

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?

No guidance on when to call this versus get_content_query or the article-status siblings. An agent must infer that this is a polling endpoint to use after create_content_query or generate_article_from_query. There are no exclusions or prerequisites stated.

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

Deploy Server

Other Tools