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Rate an edit

barevalue_feedback

Tell us whether your user is happy with a finished order. Ask them, then send their answer: our team is told and it is how the editing gets better. Sending it again for the same order replaces the earlier answer, comment included.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issuesNoOptional: what was wrong
ratingYesWhether your user is happy with the edit
api_keyNoBarevalue API key (bv_sk_...). Get one with barevalue_register. Omit when the connection already sends an Authorization: Bearer header.
commentNoOptional: what they said, in their words (max 2000 characters)
order_idYesOrder ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only declare write/non-destructive/open-world, so the description carries real extra weight here: it discloses that submitting again for the same order overwrites the prior answer including the comment (upsert semantics) and that a human team is notified. Absent is any mention of auth requirements beyond the api_key schema field or any rate limiting.

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 sentences, front-loaded with the core action, and the overwrite caveat is correctly placed last where it matters most. The second sentence is slightly padded ('our team is told and it is how the editing gets better'), which is the only real slack.

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?

No output schema exists and none is needed for a write-and-acknowledge call. Given good annotations, full schema coverage, and an explicit overwrite disclosure, an agent has everything required to invoke this correctly; only the sibling routing note is arguably missing.

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% and the schema itself explains order_id, rating, comment, issues, and the api_key/register relationship in detail. The description adds no parameter-level meaning (e.g., when 'issues' is expected, or how 'other' should pair with a comment), so the baseline 3 applies.

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 and resource: collect the user's satisfaction verdict on a finished order and report it back. That is clear enough to act on, but it never names or contrasts itself with the obvious sibling, barevalue_request_revision, so an agent must infer which path an unhappy user should take.

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?

'Ask them, then send their answer' and 'finished order' imply the trigger condition, so usage is reasonably implied. However, with a negative rating available and a revision-request tool in the sibling list, the definition should say whether unhappiness goes here or to barevalue_request_revision; that routing decision is left unaddressed.

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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