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list_database_sheets

List every Excel workbook associated with one database, grouped into the three kinds Azquo holds: reports (online reports users run), setupSheets (the workbooks that built the database in the first place), and importTemplates (the rules for interpreting incoming data files). Use this to answer 'what spreadsheets come with this database?' — list_reports and list_import_templates are business-wide, whereas this is scoped to the one database named. Counts per group are included, and a group is simply empty when a database has none of that kind.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesDatabase name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose return behavior: results are grouped into three named kinds, counts per group are included, and a group is simply empty when none exist. It doesn't cover auth/rate limits, but for a safe list operation the disclosed return shape and grouping semantics are the key traits.

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?

Front-loaded with purpose and the three groups before the sibling comparison. It is somewhat long, and the parenthetical glosses on each group are slightly expansive, but every clause carries usable routing or return-shape information.

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?

There is no output schema, so the description must explain return values, and it does: grouped into three kinds with per-group counts and empty groups when absent. Combined with the sibling differentiation, an agent has what it needs, though ordering and exact response format remain unspecified.

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 parameter is fully documented as 'Database name'. The description reinforces the scope ('the one database named') but adds no format, casing, or ID-vs-name syntax beyond the schema, so the baseline 3 applies.

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?

States a specific verb+resource ('List every Excel workbook associated with one database') and immediately names the three groups returned. It also differentiates itself from siblings list_reports and list_import_templates by explaining those are business-wide while this is database-scoped.

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

Usage Guidelines5/5

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

Gives explicit when-to-use framing ('Use this to answer what spreadsheets come with this database?') and names the alternatives (list_reports, list_import_templates) with the condition that selects this tool instead (scoped to the one database named). Nothing is left to inference.

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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