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marwa-mrwan

Mangools MCP

by marwa-mrwan

aiwatcher_update_monitor_settings

Update AI Search Watcher monitor settings to adjust how AI search visibility data is tracked and reported.

Instructions

Update AI Search Watcher monitor settings.

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, the description carries the full burden, but only says 'Update'. It does not disclose idempotency, error behavior, whether a monitor must already exist, or what side effects occur. Lacks essential behavioral context for a mutating tool.

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

Conciseness4/5

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

The description is a single, efficient sentence with no filler. It is front-loaded and easy to scan, though it is arguably too short to be fully helpful.

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 an update operation with no output schema and minimal description, the agent lacks information about what settings can be updated and what the response looks like. The description is under-specified for reliable invocation.

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% – the schema describes id, body, and query with clear explanations. The description adds no extra parameter semantics, so the 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?

The description clearly states 'Update AI Search Watcher monitor settings' – a clear verb and resource. However, it does not explicitly differentiate this from the sibling read-only tool 'aiwatcher_monitor_settings', so it misses full differentiation.

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 given on when to use this tool versus creating or deleting monitors, or updating other entities. No prerequisites, context, or exclusions are 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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