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Create Monitor Tool

create-monitor-tool

Active prompts are sent daily to third-party AI search engines (for example ChatGPT, Gemini and Perplexity) on Pineprompt's schedule, which uses plan quota. Create a new monitor for a project. Each monitor runs prompts against one or more AI platforms in the given country and language. Subject to the organization's plan quota.

Input Schema

NameRequiredDescriptionDefault
nameYesA human-readable name for the monitor (max 120 characters).
countryYesISO 3166-1 alpha-2 country code (2 letters, e.g. "US", "NL"). Must be supported by all selected platforms.
languageYesLanguage tag (e.g. "en", "nl"), max 10 characters.
is_activeYesWhether the monitor should run on schedule. Pass false for an inactive/paused monitor.
platformsYesAI platforms to run prompts against. Allowed: chatgpt, perplexity, gemini, grok, copilot, claude, google_ai_mode, google_ai_overview
project_idYesThe numeric id of the project the monitor belongs to.

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 cover readOnly=false, destructive=false, idempotent=false, and openWorld=true, but the description adds valuable non-obvious context: active monitors dispatch prompts daily on Pineprompt's schedule and consume plan quota. That resource-consumption side effect is exactly the kind of behavior an agent cannot infer from annotations. Auth requirements and response behavior are still unstated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose ('Create a new monitor for a project') is buried in the second sentence rather than front-loaded, and the quota point is made twice ('uses plan quota' and 'Subject to the organization's plan quota'). Three sentences with a redundant clause is serviceable but not tight.

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 six-parameter create tool with full schema coverage and no output schema, the description supplies the resource definition and the quota/scheduling implications an agent needs. Only the return value and permission requirements are unaddressed, which are minor gaps here.

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 description coverage is 100%, so the schema already documents all six parameters thoroughly (country code format, platform allow-list, name length, is_active semantics). The description only loosely restates country/language/platforms without adding format or constraint detail, so baseline 3 applies.

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+resource ('Create a new monitor for a project') and explains what a monitor is: it runs prompts against one or more AI platforms in a given country and language. This differentiates it functionally from create-prompt-tool and other create siblings, though no sibling is named explicitly.

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?

Usage is implied (create a monitor when you need to run prompts against AI platforms on a schedule) but there is no explicit when-to-use, when-not-to-use, or comparison to alternatives like update-monitor-tool or get-monitor-tool. The quota note hints at a cost constraint but does not guide tool selection.

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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