Skip to main content
Glama

List Scenario Runs

list_scenario_runs
Read-only

List the runs of a scenario with pass/fail counts per run. Pass runId to get one run with its per-step results instead — scenarioId is then not needed. Requires project context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skipNoNumber of runs to skip (for pagination, default 0)
takeNoNumber of runs to return (default 20, max 100)
runIdNoPublic Id (Guid) of a single run. When given, returns that run with its step results.
scenarioIdNoPublic Id (Guid) of the scenario. Required unless runId is given.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The readOnlyHint annotation covers the read-only behavior. The description adds the contextual requirement 'Requires project context' and clarifies the different output shapes (counts vs step results), which is useful beyond the annotation.

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 two sentences, directly addresses the primary use case and the alternative, and avoids unnecessary detail. Structure is clear and efficient.

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?

Covers purpose, parameter choice, and context requirement. Since there is no output schema, the description sufficiently hints at the return content (pass/fail counts, step results). A small omission is lack of mention of pagination defaults, but those are documented in the parameter descriptions.

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% and each parameter description already explains its purpose and constraints. The tool description largely reiterates the schema content (e.g., runId behavior) without adding new semantic detail beyond the schema, so a baseline score of 3 is appropriate.

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 function: listing scenario runs with pass/fail counts, and also the alternative of retrieving a single run with step results via runId. This distinguishes it from other list_* tools like list_scenarios or list_test_runs.

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?

Provides explicit guidance on when to use runId vs scenarioId, stating runId returns one run's step results and makes scenarioId unneeded. Also notes 'Requires project context' as a prerequisite. Does not explicitly contrast with sibling tools, but the name and description are self-explanatory.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation4/5

The tools are mostly distinct with clear descriptions. Some pairs like get_header_policies vs get_resolved_headers or get_environment_verification vs get_monitoring_sync_status could be slightly confusing, but the descriptions clarify scope and purpose.

Naming Consistency5/5

All tools follow a consistent snake_case verb_noun pattern (get_, list_, create_, update_, manage_, etc.). Even the few bare verbs like 'search' and 'set_context' are consistent with the naming scheme.

Tool Count1/5

With 165 tools, the server is extremely heavy. This far exceeds the 'too many' threshold of 25+, making it difficult for an agent to navigate and select the right tool efficiently.

Completeness5/5

The tool surface covers a very broad API lifecycle domain: specs, environments, test cases, monitors, mock servers, security, governance, documentation, and team management. Read and write operations are present across most areas, with no obvious missing core functionality.

Resources