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FerroxLabs

TVControl

by FerroxLabs

indicator_get_inputs

Retrieve a study's current input values to verify changes, detect manual edits, or capture the exact configuration behind a result.

Instructions

Read a study's current input values back. Use this to confirm indicator_set_inputs landed, to detect settings changed by hand, or to record the configuration a result was produced under.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYesEntity ID of the study (from chart_get_state)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.5.3

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It clearly frames the operation as a read with no side effects, and adds context about checking applied settings and capturing configuration context. It stops short of describing error cases or exact return shape.

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 core action is front-loaded, and the use cases each add distinct value without 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 single-parameter read tool, the necessary invocation details are present: what it reads and why to use it. The main gap is the absence of any output schema or explicit statement about the return format, though 'values back' implies the returned content.

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 sole parameter entity_id is already fully described in the schema as coming from chart_get_state. The description adds no param-level meaning, so the baseline of 3 applies because the schema does the heavy lifting.

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

Purpose5/5

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

The description opens with a specific verb and resource: 'Read a study's current input values back.' It clearly distinguishes the tool from its sibling indicator_set_inputs by describing the read direction rather than the write direction.

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?

It gives concrete usage scenarios: confirm indicator_set_inputs landed, detect manual changes, and record configuration. It references the related setter tool, but it does not explicitly name alternatives or state when not to use the tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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