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PROMPTEYE-SP-Z-O-O

prompteye-mcp

Official

Check whether new suggestions can be generated for a group

get_prompt_suggestion_availability
Read-only

Check if prompt suggestions can run now for a prompt group, and see why not if blocked. Apply the same availability check without scheduling a run.

Instructions

Whether generate_prompt_suggestions would schedule a new run for one prompt group of the active project right now, and if not, why — the same check that tool runs itself, without scheduling anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
groupIdYesId of the prompt group, as list_prompt_groups reports it.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
canRunYesWhether generate_prompt_suggestions would schedule a run right now.
reasonYesWhy a run would or would not be scheduled: not_eligible = the project's plan does not currently pay for background work, no_slots = no free prompt slots remain on the plan, running = a run is already in progress for this group, cooldown = the last run finished less than 7 days ago and its proposals still await a decision, nothing_to_suggest = the group is already healthy, ready = nothing is blocking a new run.
lastRunYesThis group's most recent run. null = it never had one.
availableSlotsYesFree prompt slots left on the plan; a run proposes at most this many.
pendingSuggestionCountYesSuggestions from this group still awaiting a decision.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.22

TDQS

A4.2/5.0
Behavior4/5

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

With readOnlyHint and openWorldHint already declared, the description adds meaningful value by stating it schedules nothing and returns an explanation when unavailable — the key behavioral trait for a check tool. It does not cover rate limits or latency, so it falls short of a 5.

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?

One dense sentence that front-loads the answer (whether a run would be scheduled) and closes with the key differentiator vs. generate_prompt_suggestions. Nearly no waste, though the em-dash aside makes it slightly heavy for a mobile read.

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

Completeness5/5

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

An output schema exists, so return structure needn't be described; the description still usefully explains the semantic of the return (availability plus the reason when not). For a one-parameter read-only check, nothing an agent needs is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the single groupId parameter is fully documented in-schema, so baseline is 3. The description adds only the scoping phrase 'of the active project,' no new format or constraint details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete operation — a pre-flight availability check for generate_prompt_suggestions on one prompt group — and explicitly distinguishes itself from that sibling by noting it performs the same check 'without scheduling anything.' An agent can select it correctly without opening either schema.

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

Usage Guidelines4/5

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

It clearly frames the use case: determine whether generate_prompt_suggestions would schedule a run right now and, if not, why. The alternative (calling generate_prompt_suggestions itself) is named, giving strong implied routing, though it never states an explicit call-order rule like 'run this before generating.'

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