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marwa-mrwan

Mangools MCP

by marwa-mrwan

aiwatcher_monitor_prompts

Retrieve AI Search Watcher prompt details for a monitor using its ID. Access the configured prompts to review or audit AI search monitoring settings.

Instructions

Get AI Search Watcher prompt details for a 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?

No annotations are provided, so the description carries the full burden. 'Get' implies a read operation, but the description does not explicitly state that it is non-destructive, or whether it requires specific permissions, or how results are returned (e.g., pagination, array vs object). The behavioral traits are largely implicit rather than disclosed.

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 concise sentence that directly states the tool's purpose with no filler or redundant content. It is appropriately front-loaded and easy to scan.

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?

Given the absence of an output schema and the existence of many related sibling tools, this description is insufficient. It does not explain what 'prompt details' means in practice (e.g., whether it returns prompt text, metadata, or both), nor does it provide context on how this tool fits into the broader workflow of managing AI Search Watcher prompts.

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 coverage is 100%, with all parameters having descriptions. The description adds no parameter-specific meaning beyond the schema. The generic 'body' and 'query' parameters are already self-explanatory, so the baseline of 3 is appropriate.

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 resource ('AI Search Watcher prompt details for a monitor'). It distinguishes from siblings like aiwatcher_prompt_detail (likely single prompt details) and aiwatcher_add_monitor_prompts (adding prompts), indicating a retrieval operation scoped to 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?

The description gives no guidance on when to use this tool versus alternatives, nor does it mention any exclusions or context. For example, it does not clarify whether this lists all prompts for a monitor or requires a specific prompt ID. Sibling tools like aiwatcher_prompt_detail could overlap, but no differentiation is provided.

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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