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podcli

podcli

by nmbrthirteen
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

manage_integrations

List installed integrations and control their state. Enable editor exporters, platform uploads, productivity tools, or AI helpers to make them callable, or disable them when not needed.

Instructions

List, enable, or disable podcli integrations (editor exporters, platform uploads, productivity tools, AI helpers).

Actions: • list — return all installed integrations with their enabled state (default) • enable — turn an integration on (its tools become callable) • disable — turn an integration off (calls return a disabled error)

State persists at the active config home (integrations.json, gitignored).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "manage_integrations"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNoIntegration name (required for enable/disable)
actionNolist | enable | disablelist

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.7.2
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv2.0.0

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations to rely on, the description carries the full behavioral disclosure burden and does it well. It explains side effects: enabling makes tools callable, disabling causes future calls to fail, and state persists through the active config home. This is transparent about mutating behavior and persistence.

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?

The description is compact, scannable, and front-loaded with the core purpose. The bulleted actions are easy to parse, and the final state note is concise while still adding meaningful persistence context.

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?

The tool is simple, with only two parameters and no output schema, and the description covers all operations, the default behavior, and the side effects. An agent has enough context to pick the correct action and understand what invoking the tool will change.

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?

The schema already documents both parameters completely with 100% coverage, but the description enriches the enum values by explaining what each action actually does. The additional semantics around 'callable' and 'disabled error' go beyond the schema labels.

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?

The description opens with a clear verb and resource: 'List, enable, or disable podcli integrations,' followed by distinct definitions for each action. This makes the tool identifiable and separates it from the other manage_* siblings in the same toolset.

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?

The description gives concrete invocation guidance: list is the default action, and name is needed for enable/disable. It does not name alternatives or provide explicit when-not-to-use instructions, but the intended use is clear enough for an agent.

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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