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Create ai tracking run

create_ai_tracking_run

Launch a project-scoped AI tracking run with reviewed configurations, explicit budget consent, immutable revisions, and stable retry keys; no automatic paid baseline starts.

Instructions

Manage project-scoped AI tracking. Preserve immutable revisions, explicit budget consent, and stable retry keys. This does not start an automatic paid baseline.

Input Schema

NameRequiredDescriptionDefault
consentYesExplicit acceptance of paid provider work for this reviewed configuration.
deadlineYesUTC deadline after which work must stop.
planned_atNoUTC scheduled occurrence; supplied together with schedule_id.
project_idYesPublic project ID; membership and token scope are enforced.
prompt_idsYesActive public prompt IDs to observe; each run captures immutable revisions.
schedule_idNoPublic schedule ID scoped to this project.
configurationsYesExact observation configurations to review before paid launch.
budget_revisionYesBudget revision returned by preview.
idempotency_keyYesStable launch retry key sent as REST Idempotency-Key; payload must remain identical.
consent_revisionYesConsent identity returned by preview.
credential_versionYesCredential identity version returned by preview.
credential_connection_idYesProvider connection returned by the reviewed preview.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.17.1

TDQS

B3/5.0
Behavior4/5

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

Annotations already declare it is a non-read-only, non-destructive, open-world mutation, so the safety bar is partly met. The description adds genuinely useful context beyond that: paid provider work requiring "explicit budget consent," immutable revisions, and stable idempotent retry keys. It stops short of explaining permissions or what happens on retry with a changed payload, but the consent/idempotency disclosure is real added value.

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

Conciseness3/5

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

Three short sentences with no padding, so it is appropriately sized. However the leading sentence is near-filler ("Manage project-scoped AI tracking") and the most decision-relevant point (this launches paid work) is buried in the trailing clause, so front-loading is weak.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter, 10-required mutation with no output schema, the description conveys the consent/idempotency theme but omits the critical preview-first workflow (budget_revision, consent_revision, credential_version all "returned by preview") and any notion of the response. The rich schema compensates for parameter detail, but the dependency chain an agent must follow is left unstated.

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 every parameter including the consent const, revisions, and idempotency_key is already documented in the schema. The description loosely echoes these concepts ("immutable revisions, explicit budget consent, stable retry keys") but adds no format or constraint detail beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening verb is generic ("Manage project-scoped AI tracking") rather than stating that this creates a run; the create-specific intent is only inferable from the title and from clauses about revisions/consent. The closing line ("does not start an automatic paid baseline") does help scope it against an auto-launch path, but a sibling like preview_ai_tracking_run is never named for contrast. Purpose is roughly clear but not sharply stated.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance or named alternative. The schema repeatedly references values "returned by preview," implying preview_ai_tracking_run must be called first, yet the description never states this prerequisite or when to choose this tool over retry/cancel/schedule siblings. Only a faint negative scoping ("not an automatic paid baseline") is provided.

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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