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Buckets

list_buckets
Read-onlyIdempotent

Buckets such as Rent, Loans or Contractors: custom fields, schedule, routing rules and paid / upcoming / missed counts.

Input Schema

NameRequiredDescriptionDefault
companyNoCompany name or id, "Personal", or "all". Omit for every company this connection can see.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so safety is covered. The description adds value by disclosing the returned payload categories (counts, schedule, routing rules), but says nothing about pagination, ordering, or result size.

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 resource and then lists the payload fields. Nothing is wasted, though the omission of any verb keeps it from being maximally useful.

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 list tool with full annotation coverage and full schema coverage, the description usefully compensates for the absent output schema by enumerating the fields returned. Only ordering/pagination details are missing.

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%, and the single 'company' parameter is fully documented in the schema including the 'Personal'/'all'/omit semantics. The description adds nothing beyond that, so the baseline 3 applies.

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 names the resource and enumerates the payload ('custom fields, schedule, routing rules and paid / upcoming / missed counts'), but it is a noun phrase with no verb — the action is only inferable from the tool name. It also does not differentiate itself from get_bucket, create_bucket, or update_bucket, which share the same noun.

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 when-to-use guidance, no mention of get_bucket for a single bucket, and no exclusion for create/update siblings. The agent must infer that 'list' means retrieve all buckets in scope.

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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