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Create prompt

create-prompt

Create a visibility prompt, the question PingAura asks AI engines on each run, for one domain. The topic is created if it does not exist. An active prompt joins the next visibility run and counts toward the prompt quota, so creation is refused at the quota; a draft prompt does neither. A prompt with the same text on the domain is refused.

Input Schema

NameRequiredDescriptionDefault
topicYesTopic name (auto-created if new)
promptYesPrompt text
statusNoPrompt statusactive
filtersNoCustom filter values to tag the prompt with, as key to value slug, e.g. {"product":"ill"}. The declared keys and their valid values are the ones list-prompt-filters returns. An undeclared key or value is refused, not ignored.
languageNoLanguageEnglish
domain_idYesDomain ID
content_typeNoContent typeblog

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Adds substantial context beyond the annotations: side effects (joining the visibility run, consuming quota), two named failure modes (quota exceeded, duplicate prompt text), and the draft/active distinction. It stops short of describing what is returned (no output schema exists) or any auth constraints, which keeps it out of 5 territory.

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?

Four dense sentences with no filler; the core action and scope lead, followed by the quota/dedup rules. Slightly compressed phrasing ('counts toward the prompt quota, so creation is refused at the quota') asks the reader to unpack a causal chain that could be stated more directly.

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 7-parameter write tool with a nested filters object and no output schema, the description covers purpose, side effects, and rejection conditions well. The main gap is the return payload — an agent gets no hint about whether the created prompt ID or the auto-created topic is handed back.

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?

With 100% schema description coverage, the schema already explains every parameter including the filters object and the status enum. The description adds no parameter-level meaning beyond noting that topic auto-creation happens, so the baseline 3 applies.

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?

States a specific verb and resource ('Create a visibility prompt') plus the domain scope, and defines the domain-specific term ('the question PingAura asks AI engines on each run') so an agent unfamiliar with the concept still understands it. This clearly separates it from create-prompt-topic, archive-prompt, and update-prompt-filters.

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?

Gives usable conditional guidance: active prompts join the next run and count toward quota while drafts do neither, and the call is refused at quota or on duplicate text. It also implicitly routes topic creation here ('The topic is created if it does not exist'), though it never names an explicit alternative tool the way a 5 would.

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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