Get one run
trigger_get_runFetch a single run's outcome — its status, output, error and attempts. Trigger.dev: GET /api/v1/runs/{runId}/result.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| run_id | Yes | The run's id (run_...). |
trigger_get_runFetch a single run's outcome — its status, output, error and attempts. Trigger.dev: GET /api/v1/runs/{runId}/result.
| Name | Required | Description | Default |
|---|---|---|---|
| run_id | Yes | The run's id (run_...). |
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safety profile is covered. The description usefully discloses what the call returns (status, output, error, attempts), but says nothing about error semantics (e.g. what happens for a nonexistent run) or whether results are final versus in-progress. With annotations carrying the read-only signal, a 3 is appropriate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two compact sentences, front-loaded with the outcome and field list, with the REST endpoint appended. No wasted prose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description does the right thing by naming the returned fields, and the readOnlyHint covers safety. Given a one-parameter read tool, this is nearly complete, missing only status/value semantics for edge cases.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the single run_id parameter is documented in the schema; the description only echoes the id via the REST path template. Baseline 3 for a fully documented parameter set.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clear specific verb (fetch) and resource (a single run), plus an enumeration of the payload fields (status, output, error, attempts) that hints at how it differs from get_run_metadata or get_run_trace. It never names those siblings explicitly, so the differentiation is implied rather than stated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance and no mention of alternatives such as trigger_get_run_metadata, trigger_get_run_span, or trigger_list_run_events, which an agent could easily confuse with this result-fetching tool. Usage is only inferred from the noun 'run's outcome'.
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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