Skip to main content
Glama
TsvetanG2

cognigy-ai-mcp-management-server

get_latest_log_entries

Read-onlyIdempotent

Retrieve recent execution log entries from a Cognigy.AI project to debug flows, view errors, or monitor agent behavior.

Instructions

Gets the latest execution log entries from a Cognigy.AI project. Use this for debugging flow execution, viewing errors, or monitoring agent behavior.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by log level(s): debug, info, warn, error
limitNoMaximum number of log entries to return (1-100, default 25)
flowNameNoFilter logs by flow name
projectIdYesThe project ID to retrieve logs from
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, etc., covering safety. The description adds the 'latest' qualifier, implying recency, but does not detail ordering or pagination behavior.

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, front-loaded with purpose, then usage advice. Every word is necessary with no fluff.

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?

Given the read-only nature and good annotations, the description adequately covers what the tool does and when to use it. No output schema means return format is not required, but a mention might help.

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 meaningful parameter descriptions. The description adds no additional semantics beyond the schema, so baseline score of 3 applies.

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 it 'Gets the latest execution log entries' from a Cognigy.AI project, specifying the verb and resource. It distinguishes itself from siblings like get_transcript, which retrieves conversation transcripts, not execution logs.

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 provides clear usage contexts: 'debugging flow execution, viewing errors, or monitoring agent behavior.' However, it does not explicitly mention when not to use or compare to alternative tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TsvetanG2/cognigy-ai-mcp-management-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server