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by com.fnlowl
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Read ai generation status

read_ai_generation_status
Read-only

Read recent AI lead-magnet generation outcomes by status and widget. Visitor answers, generated content, lead ids, and failure details are not returned.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "read_ai_generation_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
projectNoA project id from list_projects. Runs this call in that project instead of the connection default.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so safety is covered; the description adds real value by disclosing the privacy scoping of the response (which fields are deliberately withheld). It still doesn't say how many records 'recent' covers or whether results are paginated.

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?

Two sentences, zero filler, with the scope of the read front-loaded and the exclusions immediately after. Nothing could be removed without losing information.

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

Completeness4/5

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

For a read-only single-parameter list tool with no output schema, the description conveys the subject of the read and the withheld fields, which is most of what an agent needs. It stops short of describing the shape of a status record (counts vs. per-run rows), which would be the remaining gap absent an output schema.

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 coverage is 100% and the single parameter is documented, but the description implies filtering 'by status and widget' while the schema exposes only `project`. An agent could reasonably expect status/widget parameters that do not exist, which is a misleading gap between prose and schema.

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 (Read) and resource (AI lead-magnet generation outcomes) with scoping by status and widget, which is far more specific than the tautological title. It contrasts itself against the richer result tools by naming what is excluded, though it never names an alternative by name.

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 exclusion clause ('visitor answers, generated content, lead ids, and failure details are not returned') implicitly routes the agent elsewhere when it needs details, but no sibling is named and there is no explicit when-not condition. Usage is inferable rather than stated.

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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