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eyalbarash
by eyalbarash

cigchat_flow_error_logs_data

Retrieve error logs for your current flow to diagnose failures. Filter by time range, node, user, or partial error description to isolate issues.

Instructions

Get error logs for the current flow. [GET /flow/error-logs/data] Requires the "Manage Flow" scope on the token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, between 1 and 100
limitNoNumber of items, between 1 and 1000
searchNoPartial error description
node_nsNoNode namespace
user_nsNoSubscriber user namespace
end_timeNoUnix timestamp no older than one month
start_timeNoUnix timestamp no older than one month

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose the HTTP method (GET) and an authorization requirement, implying a read-only operation. However, it does not describe return shape, pagination behavior, whether results are time-bounded by default, or how errors are surfaced.

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 short sentences with no filler; the core action and endpoint come first, and the auth requirement is tacked on cleanly.

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?

For a straightforward GET/log tool with fully documented parameters this is usable, but with no output schema and no annotations the description leaves out return format, default time window, and how to request specific nodes/users beyond the schema names. It is adequate but not complete enough to plan a robust call without further assumptions.

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 the schema documents all seven parameters. The description adds no parameter-level meaning beyond that baseline, but none is missing.

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?

The description names a specific resource ('error logs') and a clear verb ('Get'), scoped to the current flow, and embeds the endpoint. It is clear on its own, though it does not explicitly distinguish it from sibling log/data tools such as cigchat_flow_agent_activity_log_data.

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 given about when to choose this tool over similar flow data/log tools, what 'current flow' means, or when filters should be used. The only context is the required 'Manage Flow' scope, which is an authorization prerequisite, not usage guidance.

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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