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get_traffic_chaos_status

Read the current Global Traffic Chaos configuration for a specific mock API. Returns whether chaos is enabled, the distribution mode (probabilistic or exact round-robin), the list of traffic targets (drop/error/rule/default) with their percentages, and the error status code. Call this before set_traffic_chaos to understand the current state.

Input Schema

NameRequiredDescriptionDefault
mockIdYesDatabase ID of the mock endpoint
projectIdYesDatabase ID of the project (obtained from list_projects)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well: it frames this as a read, and spells out the return shape (enabled flag, distribution mode, traffic targets with percentages, error status code). Missing only operational context such as permissions or what happens if no chaos config exists.

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 tight sentences: the first front-loads the operation and its scope, the second gives the ordering guidance. No filler and nothing repeated from the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter read tool with no output schema and no annotations, the description supplies both the return contents and the usage context an agent needs to call it correctly.

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%, with both projectId and mockId documented including how to obtain projectId. The description adds no parameter-level meaning beyond that, so the baseline 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 and resource: read the current Global Traffic Chaos configuration for a specific mock API, and enumerates what the configuration contains. It is clear on its own, but never contrasts itself with the sibling get_rule_chaos_status, which an agent could easily confuse with it.

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?

"Call this before set_traffic_chaos to understand the current state" gives explicit ordering guidance and names the complementary write tool. It stops short of saying when not to use it or how it differs from get_rule_chaos_status.

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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