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Causara Economic Control

Get Causara control model

get_control_model
Read-onlyIdempotent

Return the live Causara V2.0 Shadow Mode model metadata, including supported action routes and frozen validation status. Use this before evaluation when you need to check whether an action type is supported.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds freshness context ('live') and the notion of a 'frozen validation status', which is useful but not deep behavioral disclosure such as caching or staleness guarantees.

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?

Two sentences, no filler. The return content is front-loaded and the usage condition follows, so an agent can decide and act immediately.

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?

With no output schema, the description carries the return-value burden and does so by naming the payload contents (action routes, validation status). Combined with annotations covering safety and a trivial empty input schema, the definition is nearly self-sufficient; only the exact response shape remains unspecified.

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?

The tool takes zero parameters, so the baseline of 4 applies. There are no inputs whose semantics need explaining 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?

States a specific verb+resource (get the control model) and enumerates the returned content: model metadata, supported action routes, and frozen validation status. It does not name the sibling tools, but the 'before evaluation' phrasing implicitly anchors it against evaluate_agent_action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a clear trigger condition: use it before evaluation when you need to check whether an action type is supported. No explicit when-not or named alternatives, but the usage context is unambiguous for a zero-arg lookup tool.

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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