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AntonioBlago

VisiblyAI MCP Server

by AntonioBlago

get_article_backup

Retrieve a saved article backup by ID in bounded content chunks to read large versions incrementally.

Instructions

Read one saved version in bounded content chunks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
backup_idYes
project_idYes
content_limitNo
content_offsetNo

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 a genuinely useful trait, that content comes back in bounded chunks, implying paging via the offset/limit parameters, and 'Read' implies a non-mutating operation. However, it says nothing about permissions/auth needs, whether project_id must match the backup's project, or rate/volume limits.

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?

A single front-loaded sentence with no filler or redundancy; every word carries information about scope and retrieval behavior.

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 values need not be explained, and the chunking hint covers the main retrieval behavior. Still, for a 4-parameter read tool with zero annotation and zero schema description coverage, the absence of any identifier semantics or prerequisite/paging guidance leaves the definition only minimally complete.

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 for all four undocumented parameters. 'Bounded content chunks' hints at the meaning of content_limit/content_offset, but backup_id, project_id, their relationship, and the 12000/0 defaults are left entirely unexplained.

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 a specific resource (one saved version, i.e. a backup), plus the delivery mechanism (bounded content chunks). It is clearly a single-item read, but it never distinguishes itself from close siblings like list_article_backups or restore_article_backup, which an agent must infer from the id-based schema.

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 when-to-use guidance and no mention of alternatives such as list_article_backups (to find a backup id) or restore_article_backup (to apply one). The agent gets no routing signal between these three closely related tools.

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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