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list_task_kinds

List the collection tasks this account may run, with the parameter names each one accepts. Call before create_task to pick a valid 'kind'. Requires an API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are present, so the description carries the burden for behavioral disclosure. It does mention the API key requirement, which is useful, and 'List' implies a read-only operation. However, it doesn't disclose return format, potential errors, or whether pagination or limits exist, so it is only minimally transparent.

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 only. The first sentence states purpose and output, the second adds usage guidance and authentication. Every word adds informational value; no wasted content or repetition.

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 zero-parameter, no-output-schema tool, the description covers the core necessary context: what it returns, when to call it relative to create_task, and the API key requirement. A small gap is not describing the general output format, but the overall context is nearly sufficient.

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?

With no input parameters and 100% schema coverage, the zero-parameter baseline applies. The description does not need to explain any parameters, and the mention of 'parameter names each one accepts' refers to the tool's output rather than input, which is appropriate for a 0-param tool.

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 clearly identifies verb ('List'), resource ('collection tasks'), scope ('this account may run'), and adds what the output includes (parameter names). It is clearly distinguished from siblings like create_task and get_task by mentioning the task-kind enumeration and its parameter names.

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?

It gives an explicit when-to-use guidance: 'Call before create_task to pick a valid kind'. This names the relevant sibling and a concrete precondition, though it does not explicitly state when not to use the tool or mention other alternatives.

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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