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list_app_endpoints

Read-only

List an app's REST endpoints with their methods and column counts to identify broken endpoints that silently discard writes.

Instructions

List an app's REST endpoints — slug, board, allowed methods, and how many columns each exposes. An endpoint exposing 0 columns is broken: it returns only item metadata and silently discards writes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesApp id or slug (from list_apps / create_app)
organizationIdNoOrganization id; defaults to the credential organization when omitted

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.13.0
    • addedInput schema / properties / appId / description
      Added value: +"App id or slug (from list_apps / create_app)"
    • addedInput schema / properties / organizationId / description
      Added value: +"Organization id; defaults to the credential organization when omitted"
  2. First observedv0.7.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable behavioral context beyond that: endpoints with 0 exposed columns are broken and silently discard writes. This kind of operational insight helps the agent interpret results correctly.

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?

Two sentences, no filler. The core purpose comes first, and the broken-endpoint warning adds significant operational value without bloat.

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 read-only listing tool with no output schema, the description conveys the return contents and a key data-quality caveat. It is concise and sufficient for correct invocation, though it could optionally mention the response shape more explicitly.

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%, so the parameters are already fully documented (appId, organizationId). The description adds no extra parameter-level meaning, which is acceptable because the schema carries the load.

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 uses a specific verb ('List') and identifies the exact resource ('an app's REST endpoints') plus the fields returned (slug, board, allowed methods, column count). This clearly differentiates the tool from siblings like list_apps or get_app_spec without requiring schema inspection.

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 context is clear: this is the tool for enumerating an app's endpoints and their properties. It doesn't explicitly contrast itself with alternatives, but its scope is specific enough that an agent can infer when to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.