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Glama

List workflow runs

list_runs
Read-only

List a workflow's past runs, most-recent-first, by workflow id. Optionally filter by status (succeeded, failed, running, cancelled). Returns run summaries (run_id, status, message, timestamps); use get_workflow_run for a run's output or get_workflow_run_traces for per-step detail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNooptional status filter: succeeded, failed, running, or cancelled; omit for all
page_sizeNomaximum number of runs to return in this page
page_tokenNotoken from a previous response's next_page_token to fetch the next page
workflow_idYesthe workflow id whose runs to list

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
runsYes
next_page_tokenNo

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already establish the safety profile (readOnlyHint=true, destructiveHint=false), so the description's job is to add behavioral context beyond that — which it does: sort order ('most-recent-first'), the summary fields returned ('run_id, status, message, timestamps'), and the status filter values. No contradiction with annotations; the only omission is pagination behavior, but that is covered by the schema.

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 with zero waste: the core action and ordering are front-loaded, followed by the filter, the return shape, and sibling routing. Every clause earns its place, and the alternative-tool routing is packed efficiently into the final clause.

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 4-parameter list tool with an output schema and safety annotations, the description covers purpose, ordering, filter values, return summary, and sibling routing — nearly everything an agent needs. Pagination is legitimately left to the schema, which thoroughly documents page_token and next_page_token. Minor gaps like not-found behavior or empty-result semantics are acceptable given the output schema and the low complexity.

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%, so the baseline is 3. The description reinforces workflow_id as the lookup key ('by workflow id') and restates the status filter values, but page_size and page_token semantics are left entirely to the schema, which already documents them adequately ('token from a previous response's next_page_token'). The description adds modest interpretive value without needing to compensate for gaps.

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?

States a specific verb and resource ('List a workflow's past runs') with a precise scope qualifier ('by workflow id') and ordering ('most-recent-first'). It also names the sibling tools it is not — get_workflow_run for output and get_workflow_run_traces for per-step detail — so an agent can distinguish it from adjacent run-related tools without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes to alternatives with concrete conditions: 'use get_workflow_run for a run's output or get_workflow_run_traces for per-step detail.' The description also signals optionality ('Optionally filter by status') and enumerates the valid filter values, so an agent knows when to omit the filter entirely.

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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TDQS

A4/5.0
Disambiguation5/5

Every resource family follows the same verb+noun pattern and each tool name uniquely identifies a resource-action pair (create_app vs create_app_version vs update_app vs publish_app). Closest overlaps like analyze_resource vs get_resource_graph and patch_datafile vs update_datafile are explicitly differentiated by their descriptions, so misselection risk is low despite the scale.

Naming Consistency5/5

Names are almost uniformly verb_noun snake_case with a consistent lifecycle vocabulary: create/get/update/delete/list/publish/unpublish/version. Minor outliers like whoami and run_schedule_now are idiomatic and do not break the predictability of the set.

Tool Count1/5

At 93 tools this far exceeds the calibration's 50+ extreme-mismatch case. The count is inflated by repeating create/get/update/delete/version/publish/unpublish across ten resource families; even though each family is systematic, the combined surface is very hard for an agent to navigate and keep in context.

Completeness4/5

Core CRUD/publish/version lifecycles are present for apps, workflows, endpoints, schedules, schemas, datafiles, and api templates, and dependency analysis is well covered. However, secret creation/updating, asset upload, custom-domain deletion, and version-range enumeration for several resource types are absent or left to the external dashboard, so agents hit a few manual dead ends.

Resources