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Get simulation run results

get_simulation_run_results
Read-onlyIdempotent

The same run as a redacted, versioned pass/fail projection for a build server: per-case status, error codes, failed assertions and which evidence kind exists -- no transcript, no recording reference, no rubric rationale. Needs only simulation_suites:read, so a CI job can gate a deploy on a run without holding a key that reads every AI agent's configuration. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNo
run_idYes
agent_idYes
organization_idNoOptional. Defaults to the authenticated workspace; when supplied it must be that workspace's id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish read-only/idempotent/no-side-effects, yet the description adds genuinely useful behavior: exactly what is redacted (no transcript, no recording reference, no rubric rationale) and the minimal permission scope required (simulation_suites:read). 'Read-only' repeats the annotation, but the redaction and permission disclosures go well beyond it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Opens with the core purpose and output shape, then the permission/CI rationale, then a terse safety note. Tightly constructed with little waste, though the CI-gating explanation is somewhat elaborate relative to the rest.

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?

No output schema exists, so the description carries the return-value burden and does so well, enumerating the projected fields and what is withheld. The remaining gap is parameter-level guidance (pagination, cursor), which is left undocumented.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 20% (only organization_id documented), so the description is expected to compensate, and it does not -- limit, cursor, run_id and agent_id semantics are unaddressed. 'The same run' faintly implies run_id/agent_id identify the run, but pagination and cursor behavior are never explained.

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 resource (a simulation run) and a precise output shape (redacted pass/fail projection: per-case status, error codes, failed assertions, evidence kind). The phrase 'The same run as a redacted... projection' implicitly distinguishes it from the fuller run sibling, but does not name get_simulation_run directly, so sibling differentiation is only implied.

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?

Gives a clear use context -- a build server / CI job gating a deploy -- which explains when this narrow projection is preferable. It stops short of explicitly naming the alternative (get_simulation_run for the full transcript-bearing view) or stating when-not to use it.

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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