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marwa-mrwan

Mangools MCP

by marwa-mrwan

aiwatcher_create_monitor

Create a monitor to track your brand's visibility in AI search results, capturing mentions and rankings across AI-powered platforms.

Instructions

Create AI monitoring for a brand.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoOptional JSON request body to pass directly to POST/PUT/PATCH/DELETE endpoints.
queryNoOptional query string parameters to pass directly to the Mangools endpoint.
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 burden of behavioral disclosure. It only states that a monitor is created, without mentioning required inputs, return values, side effects, or permissions. This is minimal but not entirely missing.

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?

The description is a single six-word sentence with no padding or redundancy. Every word is functional, making it maximally concise and well-structured.

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

Completeness2/5

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

For a create operation with no output schema and no annotations, this description is inadequate. It omits any information about the expected body structure, what a monitor is, or how the response will be returned, leaving the agent with insufficient context to invoke the tool correctly.

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?

The input schema has 100% description coverage for its two parameters, but both are generic passthrough fields (body, query). The description adds no parameter-level meaning beyond what the schema already provides, so the baseline score of 3 is appropriate.

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?

The description uses the specific verb 'Create' and identifies the resource as 'AI monitoring for a brand'. This clearly states the action and the object, but it does not distinguish this from sibling tools like aiwatcher_monitors or aiwatcher_generate_prompts.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. Sibling tools such as aiwatcher_delete_monitor and aiwatcher_update_monitor_settings exist, but no exclusions, preconditions, or contextual cues are given.

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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