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marwa-mrwan

Mangools MCP

by marwa-mrwan

aiwatcher_add_monitor_prompts

Add search prompts to an AI Search Watcher monitor by providing its ID, with optional query parameters and JSON body for custom requests.

Instructions

Add prompts to an AI Search Watcher monitor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesAI Search Watcher monitor ID.
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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action ('Add prompts') without revealing whether existing prompts are replaced, whether the operation is idempotent, what authentication is required, or what side effects occur. This is a significant transparency gap for a mutation tool.

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 filler. Every word contributes to the core meaning, making it highly concise and easy to parse.

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 tool with generic body/query pass-through parameters, no output schema, no annotations, and several similarly named siblings, the description is too thin. It does not explain how to compose the request, what 'add' implies semantically, or what the expected outcome is, leaving an agent under-equipped to invoke it 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?

Schema description coverage is 100%, so the baseline is 3. However, the description adds no detail about how the prompts should be represented in the generic 'body' or 'query' parameters; it merely introduces the concept of 'prompts' without mapping it to the schema. The schema still carries the parameter meaning.

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 uses a specific verb and resource: 'Add prompts to an AI Search Watcher monitor.' It clearly distinguishes this tool from related siblings such as aiwatcher_generate_prompts, aiwatcher_delete_prompts, and aiwatcher_monitor_prompts by focusing on the 'add' action targeting a monitor.

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 usage guidance is provided. The description does not state when to use this tool versus alternatives like aiwatcher_generate_prompts (to create prompts) or aiwatcher_monitor_prompts (to list them), nor does it mention any prerequisites or exclusions.

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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