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Glama

it_ops_autonomous_it_consultancy

Destructive

Submit an IT operations objective and optional structured inputs to run an autonomous IT consultancy action, returning domain-agent guidance within your tenant and company scope.

Instructions

Run the it_ops domain agent action autonomous_it_consultancy.

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

B3.3/5.0
Behavior3/5

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

The description adds useful scoping context (JWT, tenant, company) and discloses that calls route through the platform's dispatcher. It does not contradict the annotations, which already communicate open-world and destructive behavior. It does not add detail about side effects or runtime behavior, but the annotations lower the burden.

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 front-loaded with the action to execute and uses a compact Args block with no filler. Every sentence adds relevant operational context.

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

Completeness3/5

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

With an output schema available and annotations covering destructive/open-world traits, the basic invocation is sufficiently documented. However, the description lacks any characterization of what the autonomous consultancy actually does, how long it may run, or how it relates to the many sibling it_ops and dispatch tools, which limits selection confidence.

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 0%, so the description must compensate. It distinguishes message as 'Free-text objective' and inputs as 'Optional JSON string of structured inputs,' which adds some meaning beyond the raw schema. It still leaves the internal structure of inputs and interpretation of the objective unspecified.

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 opens with a clear verb ('Run') and names the exact action with a backticked identifier, plus the routing context. However, it does not explain what 'autonomous IT consultancy' actually does or how it differs from similar sibling dispatch/loop tools.

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 when-to-use guidance is provided. The description does not say when to choose this over dispatch_domain_agent or it_ops_autonomous_delivery_loop, nor does it give exclusions or prerequisites.

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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