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Nodeblue-AI

ignition-mcp-server

by Nodeblue-AI

list_named_queries

Retrieve all named query names from an Ignition project given its file path or zip export.

Instructions

List all named query names in an Ignition project.

Args: project_path: Path to Ignition project directory or .zip export.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Without annotations, the description should disclose safety aspects (read-only) and output structure, but it only mentions listing names. No information about side effects, permissions, or response format beyond the implied list of strings.

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 concise with two short sentences, immediately stating the action and listing the argument. Every word is necessary.

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?

While the tool is simple and has an output schema, the description lacks usage guidelines and behavioral transparency, making it incomplete for an agent to fully understand when and how to use it.

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 description adds meaningful context to the single parameter 'project_path', specifying it can be a project directory or .zip export, which is not evident from the schema alone. Schema coverage is 0%, so this is beneficial.

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 clearly states the verb 'List' and the resource 'named query names' within a given 'Ignition project', making the tool's purpose specific and distinguishable from siblings like 'get_named_query'.

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 guidance is provided on when to use this tool versus alternatives, such as 'get_named_query' for full details. The description lacks context for effective decision-making.

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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