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ppl - Personal CRM for AI Agents

Create Task

tasks.create

When the user wants to remember to do something, optionally tied to a person, like "remind me to call Maya next week".

Input Schema

NameRequiredDescriptionDefault
titleYesRequired.
contact_idNoOptional contact API id.
approval_idNoID of a human-approved exact tool request from this credential. Single use on successful execution.
descriptionNoOptional longer text.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare this is a non-read-only, non-destructive, non-idempotent, non-open-world operation, so the safety profile is covered. The description adds only that a task may be linked to a contact, which is mild value; it does not surface notable behavior such as the human-approved, single-use nature of the approval_id parameter or any duplicate-handling semantics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

A single compact sentence that front-loads the trigger condition, with no redundant or filler text. It is slightly informal and example-dominated, but it wastes no space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, and the schema fully documents all four parameters including approval_id. The remaining gap is sibling disambiguation against reminders.create, which is important for a 4-parameter creation tool in this dense toolset and is not addressed.

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 baseline is 3. The description reinforces the optional person linkage (contact_id) but adds no formatting, value, or constraint detail beyond what the schema already documents for title, contact_id, approval_id, and description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys intent via a trigger phrase and example ('remember to do something... optionally tied to a person'), but never states the actual operation ('creates a task record'). The example 'remind me to call Maya next week' overlaps semantically with the sibling tool reminders.create, so an agent cannot reliably tell the two apart from this text alone.

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?

It gives a clear when-to-use condition (the user wants to remember something) and notes that it can be tied to a person, which is useful implied guidance. However, it offers no when-not condition and never names the obvious alternative (reminders.create or notes.create), leaving the routing decision ambiguous.

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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