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list_environments

A project's environments, in order, and its ten newest deployments. An environment is one of the places a project's work is put out to — 'dev', 'staging', 'prod' — in order; the LAST one is where finished work ends up. A deployment is a pipeline saying «this went out, there». Each issue it carried then says where it lies ('deployedTo' on get_issue), gets one history line per environment, and the project's rules with trigger 'deployed' run on it. Also 'canEdit' (you may change the list) and 'canReport' (you may report a deployment). Any member may read them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectKeyYesProject key, e.g. 'ONB'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden, and it delivers: it discloses the ten-deployment cap, the ordering of environments, the permission model ('any member may read'), and the semantic side effects (issues report deployedTo, get one history line per environment, and trigger 'deployed' project rules). It omits pagination and detailed return formatting, which keeps it from 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.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is one front-loaded paragraph that leads with the resource, which is good. However, several sentences (history lines per environment, 'deployed' rule triggers, deployedTo cross-reference) explain downstream semantics that are tangential to selecting and invoking the tool, adding length without sharpening the call decision.

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 no annotations, the description must describe the return surface, and it does so reasonably well: environments in order, ten newest deployments, canEdit and canReport flags. It is complete enough for an agent to understand what it gets, though exact response shape and any pagination remain unspecified.

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?

There is a single parameter (projectKey) with 100% schema description coverage, so the schema already documents it fully. The description adds no format or syntax detail beyond what the schema provides, which is the baseline-3 case when the schema does the heavy lifting.

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?

The description states the specific resource and scope: a project's environments in order plus its ten newest deployments. It clearly defines the domain concepts (environment, deployment, deployedTo, canEdit/canReport), so the agent understands what comes back. It does not, however, name or distinguish the tool from siblings like set_environments or report_deployment, which would push it to a 5.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to call this versus alternatives. 'Any member may read them' is a permission note rather than a usage condition, and set_environments (the write counterpart) is never mentioned. The agent must infer usage entirely from the resource description.

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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