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CaptureOneAI Web Perception

List monitors

list_monitors

Lists your active monitors and their IDs, URLs and schedules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It states the operation is a list, implying read-only, but does not explicitly confirm no side effects, authentication requirements, or potential limitations such as pagination or rate limits. The disclosure is minimal and does not go beyond the basic purpose.

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, tightly worded sentence that front-loads the action and result. Every word contributes; there is no fluff or redundancy.

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

Completeness4/5

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

For a simple list tool with no parameters and no output schema, the description specifies the returned fields (IDs, URLs, schedules). It is complete enough for an agent to know what to expect, though it does not mention ordering, limits, or whether all monitors are returned at once. These are minor gaps given the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so the description does not need to explain parameter semantics. The schema coverage is trivially 100% (empty object). Per rubric, a tool with no parameters merits a baseline score of 4, and the description adequately focuses on the return values.

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 states a clear verb ('Lists'), a resource ('your active monitors'), and the data returned (IDs, URLs, schedules). It is specific and unambiguous, but it does not distinguish this tool from related siblings like check_monitor or get_monitor_changes, which could also involve monitor data.

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 alternatives. It does not mention when to prefer list_monitors over check_monitor or get_monitor_changes, nor does it state any conditions or exclusions. The agent is left to infer usage.

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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