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publish_external_run_insight_generation

DestructiveIdempotent

Publish one strict external teacher judgment as a new immutable Converra conversation-insight generation. Requires the exact active publication bundle, exact evidence, and an idempotency key. The server owns all Converra identities, hashes, tenant scope, receipts, and publication state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
judgmentYesStrict outcome union enforced by the server. verified_issue requires title, summary, primaryFindingIndex, rootCause, and findings. verified_clean/review_required require title, summary, and findings. coverage_unavailable requires coverageReason, resolutionNeeded, and empty findings. incomplete requires incompleteReason and empty findings and will remain inactive.
customerIdNo(Converra superadmin only) Target customer ID to act on behalf of
provenanceYes
schemaVersionYes
conversationIdYes
idempotencyKeyYes
expectedPublicationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=true, and readOnlyHint=false, so the safety profile is set. The description adds genuine value beyond that: it discloses that the result is immutable and that the server owns identities, hashes, tenant scope, receipts, and publication state, clarifying the agent's responsibilities versus the server's.

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?

Three dense sentences, front-loaded with the core action and followed by requirements and server-side ownership. No wasted words, though the phrasing is terse enough to be opaque to a first-time reader.

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 destructive, highly nested publish operation with no output schema, the description covers the essential contract but omits what happens on validation failure, how the idempotency key is scoped, and any result/receipt shape. Adequate but with clear gaps given the 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 only 29% across seven parameters with deep nesting, so the schema largely does not carry the load. The description compensates for a few key inputs (expectedPublication bundle, evidence, idempotencyKey) but leaves most of the nested judgment/provenance structure to the schema.

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 verb (publish) and a precise resource (an external teacher judgment as an immutable conversation-insight generation). This is clearly distinguishable from sibling write tools like regenerate_run_insights or refresh_agent_insights, though the term 'Converra conversation-insight generation' is jargon-heavy and not self-explanatory.

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

Usage Guidelines3/5

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

The description lists prerequisites (exact active publication bundle, exact evidence, idempotency key), which implies when the tool is invocable, but it never names an alternative or states when NOT to use it versus the many insight-related siblings. Usage is inferred rather than directed.

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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