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List your review inbox

list_review_inbox
Read-only

Read your review inbox in this workspace: toReview holds candidates a teammate sent you for review that you have not given a verdict on; updates holds mentions, replies, and verdicts on candidates you asked about or took part in. Filter by section or unread only. Reading does not mark anything read. Requires OAuth or a scoped token.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "workspaceId": "<workspaceId>"
    },
    "name": "list_review_inbox"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
offsetNo
sectionNoall
unreadOnlyNo
workspaceIdYesThe workspace id returned by list_workspaces. Use 'personal' for the personal workspace.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered; the description still adds genuinely non-obvious value with 'Reading does not mark anything read' and the 'Requires OAuth or a scoped token' auth requirement. It says nothing about pagination behavior or result shape, keeping it short of a 5.

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?

One tight paragraph, front-loaded with the resource and scope, then sections, then filtering, then behavioral caveats and auth. No filler sentences and every clause carries information.

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?

With no output schema and five parameters at low schema coverage, the description does well by explaining what the two inbox sections contain and that reads are non-mutating. The remaining gap is pagination and result ordering/format, plus the enum-name mismatch, for a paged list endpoint.

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 coverage is only 20%, so the description needs to carry weight: it explains the section filter and unreadOnly in prose, but leaves limit and offset entirely unexplained and never mentions the 'all' default. It also labels the sections 'toReview' and 'updates' while the enum values are 'to_review' and 'updates', a casing mismatch an agent could trip on.

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 ('Read your review inbox in this workspace') and precisely delimits what each section contains — candidates a teammate sent you with no verdict yet, versus mentions/replies/verdicts on candidates you engaged with. That scope definition does implicitly separate it from list_candidate_reviews and get_review_queue, though no sibling is named explicitly.

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 section semantics imply when each view applies, and 'Filter by section or unread only' hints at narrowing, but there is no explicit when-to-use guidance and no named alternative tool for agents deciding between this and get_review_queue or list_candidate_reviews.

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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