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List staging sessions

list_deploys
Read-onlyIdempotent

List the team's begin_deploy staging sessions, by default the active ones (open and committing), up to 50. Useful after a crash or restart to commit or abort leftovers.

Input Schema

NameRequiredDescriptionDefault
statusNoFilter by status. Default lists 'open' and 'committing' (the actionable ones). Pass an explicit status to inspect history.

Output Schema

NameRequiredDescriptionDefault
sessionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedOutput schema / properties / request_id
      Removed value: -{
      -  "description": "Server-assigned request correlation id. Quote it when contacting support.",
      -  "type": "string"
      -}
  2. Changed1 schema field changed
    • addedOutput schema / properties / request_id
      Added value: +{
      +  "description": "Server-assigned request correlation id. Quote it when contacting support.",
      +  "type": "string"
      +}
  3. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent and non-destructive, so safety is covered. The description adds non-obvious behavior the annotations cannot convey: the default status filter and the 50-result cap, both of which affect the result set. It does not discuss pagination beyond the cap, but with an output schema present that is a minor gap.

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?

Two sentences, front-loaded with the resource and scope, and the actionable workflow note comes second where it belongs. No filler; the only mild redundancy is the restatement of the default statuses already in the schema.

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?

For a single optional-parameter list tool with full annotations and an output schema, the definition covers scope, default behavior, result cap and intended use case. Return-value details are correctly left to the output schema, leaving little an agent would still need.

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 single enum parameter is fully documented there, including the default and the 'inspect history' rationale. The description restates the same default (open and committing) without adding format or edge-case detail, so baseline 3 is appropriate.

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

Purpose5/5

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

States a specific verb+resource (list the team's begin_deploy staging sessions) and immediately qualifies scope: default to active statuses and a 50-item cap. The reference to begin_deploy, commit and abort ties it directly to the sibling tools it complements, so an agent can distinguish it from list_history or list_snapshots without opening the schema.

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?

Gives a concrete triggering scenario — 'useful after a crash or restart to commit or abort leftovers' — which tells the agent when this tool is the right entry point. It stops short of naming an explicit alternative or a when-not condition, so it is clear context rather than full routing guidance.

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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