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ppl - Personal CRM for AI Agents

Describe Schema

schema.describe
Read-onlyIdempotent

When you are unsure how ppl organizes its data and need the data model: tables, key fields, and relationships relevant to agents. Call this before guessing at structure.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is fully covered. The description adds only the framing that this is a discovery step to run before guessing, which is usage guidance rather than new behavioral detail; with an output schema present, return values need not be described.

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 with the condition front-loaded before the call to action, so nothing is buried. The trailing 'relevant to agents' is mild filler and the phrasing is slightly stilted, keeping it just below top marks.

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, read-only discovery tool with a full output schema and rich annotations, the description covers what an agent needs: what it returns and when to reach for it. No gaps remain that would cause an incorrect invocation.

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 tool takes zero parameters, so the baseline of 4 applies; there is nothing in the schema for the description to clarify or compensate for.

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?

Names a specific verb+resource (describe the schema) and enumerates the content the agent gets: tables, key fields, relationships. It is unambiguous what the tool returns, though it never explicitly contrasts itself with the entity CRUD/list siblings it complements.

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?

Gives a clear triggering condition ('when you are unsure how ppl organizes its data') and a directive ('call this before guessing at structure'), which effectively positions it as a pre-flight call. It stops short of stating when NOT to use it or naming 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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