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Get one run

squally-get-run
Read-onlyIdempotent

Retrieve a run's detailed per-test results across all shards to identify which test is red or failing.

Instructions

One run with its per-test result rows, across every shard. Use this to find out which test is red in a run; the run list carries only the counters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
runIdYesA run id from GET /projects/{projectId}/runs - or any shard's id of a sharded run.
projectIdYesA project id from GET /projects.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
runYes
testsYes
countsYes
projectYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, so the safety profile is known. The description adds that results span every shard and includes per-test rows, which is behavioral context beyond annotations. No contradiction. It doesn't discuss errors or edge cases, but with annotations and output schema, this is sufficient.

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 the core function, then a usage tip. No wasted words, clear and concise.

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?

For a simple read operation with fully described schema and annotations, the description covers the purpose, the key differentiator (shards, per-test rows), and the use case. Output schema handles return values, so nothing critical is missing.

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 detailed descriptions for both parameters. The tool description adds no additional parameter details, so it relies on the schema. Baseline 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 the tool returns a single run with per-test result rows across all shards, and distinguishes it from the run list which only carries counters. It names a specific use case (find which test is red), making it distinct from siblings.

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 explicitly tells when to use this tool: to find out which test is red, because the run list only carries counters. It implies this is the go-to for per-test details, but does not mention when to use alternatives like find-run or get-test-status, so it's not fully comprehensive.

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