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TsvetanG2

cognigy-ai-mcp-management-server

search_nodes

Read-onlyIdempotent

Find nodes in a Cognigy.AI flow by searching their text content, including messages, conditions, and code.

Instructions

Searches for nodes in a Cognigy.AI flow by text content. Finds nodes containing the search term in their configuration (messages, conditions, code, etc.). Use this to locate specific content within large flows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search text to find in node content
flowIdYesThe flow ID to search within
localeIdYesThe locale ID to search in
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint as false. The description adds value by specifying that the search covers 'configuration (messages, conditions, code, etc.)', giving deeper insight into what is searched. No contradiction with annotations.

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 concise sentences. The first states the purpose, the second adds specific details. No unnecessary words; each sentence earns its place.

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?

The description explains what the tool does and its parameters, but with no output schema, it does not describe the return format or pagination. For a search tool, this is a notable gap, making it adequate but not thorough.

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 coverage is 100% with clear parameter descriptions (query, flowId, localeId). The description does not add additional semantic meaning beyond what the schema provides, meeting the baseline for full schema coverage.

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 'Searches for nodes in a Cognigy.AI flow by text content' with specific detail about what is searched (messages, conditions, code). It distinguishes itself from sibling tools like get_nodes or get_node by focusing on text-based search.

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?

The description provides clear context: 'Use this to locate specific content within large flows.' It implies when to use the tool but does not explicitly mention when not to use it or alternative tools. However, the sibling list includes search_resources which could be a broader alternative.

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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