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jgstew

bigfix-root-mcp

by jgstew

Get Dashboard Variable

get_dashboard_variable

Reads a read-only value of a specified variable from a BigFix dashboard datastore. Provide the dashboard name and variable name to retrieve its stored value.

Instructions

Read a BigFix dashboard datastore variable value (read-only).

Input Schema

NameRequiredDescriptionDefault
var_nameYesDashboard variable name.
dashboard_nameYesDashboard name.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden; it does disclose the key safety trait ("read-only"), which is valuable. However, it says nothing about authentication requirements, whether the dashboard must exist, or error behavior for missing variables, leaving gaps for a tool with zero annotation coverage.

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?

A single short sentence with the action and resource front-loaded and no filler. Every element earns its place.

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?

An output schema exists, so return values need not be explained, and both required parameters are covered by the schema. The description is nearly complete for a simple read tool, with only minor gaps around auth and failure modes.

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 100%, so both parameters (dashboard_name, var_name) are already documented in the schema. The description adds no format, casing, or lookup semantics beyond what the schema provides, so the baseline of 3 applies.

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 ("Read") and resource ("BigFix dashboard datastore variable value"), so the agent knows exactly what it retrieves. It does not differentiate from any sibling, though none of the listed siblings covers dashboard datastore variables, so the ambiguity risk is low.

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?

There is no guidance on when to use this tool versus alternatives such as get_content or api_get, nor any prerequisite or context conditions. The only usage signal is the parenthetical "read-only", which describes behavior rather than when to call it.

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