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Glama

it_ops_monitoring_check

Destructive

Run an IT operations monitoring check through the domain agent, using a free-text objective and optional structured inputs to assess system health.

Instructions

Run the it_ops domain agent action monitoring_check.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

The description does not contradict the annotations (destructiveHint=true, readOnlyHint=false), but it also adds no additional transparency about side effects or behavior. Since annotations already indicate destructive potential, the description's lack of detail is acceptable but not additive.

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 extremely concise, consisting of two short sentences plus a compact argument list. There is no redundant information, and every line serves a purpose. It is well-structured 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?

The description lacks essential context: it does not explain what monitoring_check does, what output to expect (despite an output schema being present), when to prefer this tool over siblings, or any example usage. An agent would have to infer all of this from the tool name alone, which is insufficient.

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?

The description gives brief explanations for both parameters: 'message' is a free-text objective and 'inputs' is an optional JSON string. This adds some meaning beyond the schema (which has no descriptions), but it does not elaborate on expected format, examples, or requirements, leaving significant ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action to run (monitoring_check) and provides a specific verb ('Run'), but it does not explain what monitoring_check actually does or how it differs from the many sibling it_ops_* tools. The purpose is therefore only partially clear.

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 mentions routing through a dispatcher under JWT, tenant, and company scope, which gives some context, but it provides no guidance on when to use this tool versus alternative it_ops actions or any other tool. No explicit when-to-use or when-not-to-use information is given.

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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