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marwa-mrwan

Mangools MCP

by marwa-mrwan

aiwatcher_monitors

Retrieve all AI Search Watcher monitors for your account to track AI search visibility and manage monitoring tasks.

Instructions

Get all AI Search Watcher monitors for the user.

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, and the description does not disclose behavioral traits beyond the implicit 'get' semantics. There is no explicit statement that this is read-only, no mention of pagination, rate limits, or user scope limitations. The phrase 'for the user' hints at scoping but offers minimal safety or side-effect transparency.

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, front-loaded sentence with no redundant words. It efficiently communicates the core purpose without any fluff, making it easy to parse quickly.

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

Completeness3/5

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

For a simple list operation, the description is minimally adequate. However, it lacks any information about return format, pagination, or relationship to sibling AI Watcher tools (e.g., this likely returns an array of monitor summaries). Without an output schema, the agent has no way to know the response structure. It is complete enough for basic understanding but leaves gaps for invocation planning.

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%, with both body and query parameters described generically as pass-through to the endpoint. The tool description adds no specific parameter semantics, so the baseline score of 3 applies. It does not clarify what query parameters might be available (e.g., filters) or when body would be used for a GET operation.

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 clearly states the action ('Get') and the specific resource ('all AI Search Watcher monitors'). The word 'all' distinguishes it from sibling tools like aiwatcher_monitor_detail, which likely retrieves a single monitor. This is a specific verb+resource pairing with no ambiguity.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or comparisons to aiwatcher_monitor_detail or aiwatcher_create_monitor. Effective usage context is entirely absent.

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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