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Appty

List clients

list_clients
Read-only

This provider's clients: id, name, email, phone, billing currency, and default pay mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoDefault 50. Maximum 100.
queryNoCase-insensitive match on the client's name or email.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds the returned field set, which is genuine extra context, but says nothing about ordering, pagination/truncation, or whether all clients are returned.

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 short sentence with no filler, front-loading the resource before the field list. It is a noun-phrase fragment rather than a full sentence, but nothing is wasted.

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?

With no output schema, enumerating return fields is valuable and partially compensates. However, it omits pagination behavior and result ordering, and gives no usage context, leaving gaps for a listing tool whose siblings overlap on client data.

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 coverage is 100%, so limit (default 50, max 100) and query (case-insensitive name/email match) are fully documented in the schema. The description adds nothing about these parameters, so the baseline 3 applies.

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 the resource ('this provider's clients') and enumerates the fields it returns, which lets an agent tell it apart from siblings like list_bookings or who_owes. It never uses an explicit verb, relying on the name/title for the 'list' action, so it falls just short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus alternatives (e.g., who_owes for balances or get_provider for the provider record), and no prerequisites or exclusion conditions. Usage is only implied by the resource name.

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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