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AVIMBU

Uptime Agent MCP Server

by AVIMBU

createMonitor

Set up website or service monitoring by configuring checks for availability, response time, and performance metrics to detect downtime and ensure reliability.

Instructions

Create a new monitor

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the monitor
urlYesURL to monitor
tracking_typeNoType of monitoring (http, ping, etc.)
http_methodNoHTTP method to use for HTTP monitors
expected_status_codeNoExpected HTTP status code for HTTP monitors
check_frequencyNoFrequency to check in seconds
timeoutNoTimeout in seconds
follow_redirectsNoWhether to follow HTTP redirects
ssl_verificationNoWhether to verify SSL certificates
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 but provides minimal information. 'Create a new monitor' implies a write/mutation operation but doesn't disclose permission requirements, rate limits, side effects, or what happens on success/failure. For a creation tool with 9 parameters and no annotation coverage, this is a significant gap in behavioral 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 maximally concise at just three words: 'Create a new monitor'. Every word earns its place - 'Create' specifies the action, 'new' distinguishes from updates, and 'monitor' identifies the resource. There's zero waste or redundancy in this description.

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 creation tool with 9 parameters, no annotations, and no output schema, the description is insufficiently complete. While concise, it doesn't provide the context needed for an agent to understand behavioral aspects, usage scenarios, or what to expect upon successful creation. The description should do more to compensate for the lack of structured metadata.

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 schema already documents all 9 parameters thoroughly with descriptions and enums. The description adds no additional parameter semantics beyond what's in the schema. According to the scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 the action ('Create') and resource ('a new monitor'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'getMonitor' or 'listMonitors', but the verb 'Create' distinguishes it from read operations. The purpose is specific enough to understand what the tool does without being tautological.

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. There's no mention of prerequisites, when this tool is appropriate versus other monitoring tools, or any contextual constraints. The agent must infer usage from the tool name and parameters alone without explicit guidance.

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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