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Read an app action's inputs

get_action_schema
Read-onlyIdempotent

The full input schema of one app action: every field, its type, and which are required.

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": {
      "app": "<app>",
      "action": "<action>"
    },
    "name": "get_action_schema"
  }
}

Input Schema

NameRequiredDescriptionDefault
appYesThe app id, e.g. "slack".
actionYesThe action slug from search_actions, e.g. "SLACK_SEND_MESSAGE".

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, idempotentHint, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds useful value beyond them by disclosing what the response contains ('every field, its type, and which are required'), which matters because there is no output schema. It does not state what happens for an unknown app or action, which is the only notable gap.

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?

A single front-loaded sentence with zero filler; the resource and the returned content are both stated immediately. Nothing repeats the title or wastes words.

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 simple two-parameter read with 100% schema coverage and full annotations, the description covers purpose and return shape adequately. Only error behavior for invalid app/action identifiers is unaddressed, which is minor for this complexity level.

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%, with both 'app' and 'action' documented including examples, so the schema does the heavy lifting. The description adds only the framing that the result pertains to 'one app action' and does not extend parameter meaning beyond the schema.

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 names a specific verb and resource: it returns the full input schema of one app action, including field types and required flags. An agent can tell this apart from other get_* siblings by the resource ('app action schema'), though it never explicitly contrasts itself with alternatives such as get_step_type.

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?

There is no explicit when-to-use or when-not-to-use statement. The implied workflow is only inferable from the schema's parameter help text, which says the action slug comes from search_actions, so the description itself leaves the sequencing to inference.

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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