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AntonioBlago

VisiblyAI MCP Server

by AntonioBlago

reject_optimizer_suggestion

Reject a suggested optimization by ID to dismiss an SEO recommendation that should not be applied; requires content:write.

Instructions

Reject an optimizer suggestion; requires content:write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
suggestion_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.1

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it only discloses the required scope (content:write). It says nothing about reversibility, what state the suggestion enters after rejection, or whether rejection can be undone via undo_optimizer_suggestion.

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?

One tight sentence with the action and its prerequisite front-loaded; nothing is wasted.

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 described. But for a mutation tool with no annotations and an undocumented parameter, key operational details (reversibility, effect on the suggestion, id source) are missing.

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% and the single parameter suggestion_id is undocumented in the schema. The description does not compensate at all, offering no hint about where the id comes from (e.g., list_optimizer_suggestions) or its accepted format.

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 (reject) and resource (optimizer suggestion), which is enough to distinguish it from approve_optimizer_suggestion and undo_optimizer_suggestion by action alone. It does not explicitly name those siblings, but the action is unambiguous.

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 permission requirement 'requires content:write' is stated, and the reject action implies when it applies. However, there is no guidance on when to reject versus approve, undo, or simply ignore a suggestion, so the alternative-tool routing is left to inference.

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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