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Add Insight Feedback

add_insight_feedback
Destructive

Record disagreement with a run insight. Feedback attaches to the agent that owns the run (not the run itself), so it conditions all FUTURE insight generations for the same agent — not just this one. By default, this also triggers an immediate forced regeneration of the current run so the user sees the corrected insight right away. Other runs pick up the correction the next time their insights are regenerated.

Input Schema

NameRequiredDescriptionDefault
agentIdNoThe agent/prompt ID to attach feedback to when correcting a secondary-agent insight. Defaults to the run's entry agent.
contentYesThe user's free-text disagreement / correction (required)
customerIdNo(Converra superadmin only) Target customer ID to act on behalf of
findingKeyNoThe stable content-derived key of the finding being corrected (tool:<name> / artifact:<hash> / rule:<quote>), when known. Anchors the verdict to the exact finding so it trains against the right target.
verdictTypeNoThe evidence-bound verdict: 'confirmed_issue' (real issue), 'false_positive' (wrong finding), 'by_design' (correct but intended behavior), or 'wont_fix' (real issue acknowledged but deferred). Defaults to by_design.
rejectedClaimNoThe specific insight bullet or phrase the user disagreed with (optional but recommended)
conversationIdYesThe run whose insight is being corrected (required)
expectedPublicationNoRequired when resolving a human-review request. Bind the verdict to the exact immutable publication returned by the insight read.
triggerRegenerationNoWhether to immediately regenerate insights for this run with the new feedback applied. Defaults to true.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Annotations declare destructiveHint=true and readOnlyHint=false, and the description goes beyond them with substantive behavioral detail: feedback attaches to the agent not the run, conditions all FUTURE generations, triggers immediate forced regeneration by default, and other runs pick up corrections later. This is exactly the extra context the bar rewards.

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 tightly-packed sentences, front-loaded with the core action. Dense but every sentence carries distinct behavioral information; no filler. Slightly heavy but earns its length given the tool's complexity.

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

Completeness5/5

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

Given 9 params, nested objects, 100% schema coverage, and a destructive=false? no—destructive write with side effects, the description covers the temporal/persistence semantics (future generations, immediate regeneration) that the schema cannot express. Nothing essential is missing for correct invocation.

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

Parameters4/5

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

Schema description coverage is 100%, so baseline is 3. The description adds meaning beyond the schema by explaining the agent-scoping semantics that motivate agentId's default behavior and the regeneration trigger that frames triggerRegeneration. Adds value on top of already-rich schema docs.

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+resource: 'Record disagreement with a run insight.' Clear what the tool does and distinguishes from read tools like get_run_insights, though it doesn't explicitly contrast with regenerate_run_insights or batch_regenerate_insights which are adjacent operations.

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?

Explains the situation well: when the user disagrees with an insight and wants a correction that conditions future generations. No explicit when-not-to-use guidance or named alternatives (e.g. vs regenerate_run_insights), but context is clear.

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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