Skip to main content
Glama
dbett4

regulated-reporting-mcp

by dbett4

workiva_wdata_create_table

Create a Wdata table in Workiva with a specified name, type, and schema. Use it to set up structured data storage for regulated financial reporting.

Instructions

Create a Wdata table.

Args: name: Table name table_type: Table type schema: Table schema definition

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
schemaNo
table_typeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

The description provides no behavioral details beyond the verb 'Create'. It does not disclose side effects, required permissions, idempotency, validation behavior, or error outcomes. With no annotations provided, this leaves the agent with no safety or side-effect information.

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?

The description is extremely concise, with a one-sentence purpose and an Args list. It is clean and front-loaded, with no wasted words. However, it is underspecified, but that does not detract from its concise structure.

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

Completeness2/5

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

Given that this is a create operation with 3 parameters and no annotations or schema descriptions, the description is inadequate. It does not provide context about what constitutes a valid table, what table types are supported, or how to structure the schema object. The output schema exists but does not compensate for the missing input semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description lists 'name: Table name', 'table_type: Table type', and 'schema: Table schema definition', which barely adds meaning over the schema titles. It does not explain valid table_type values, schema format (e.g., JSON schema vs column list), or whether these are optional. Since schema coverage is 0%, the description fails to compensate.

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?

The description clearly states 'Create a Wdata table' which is a specific verb+resource. It distinguishes from sibling tools like workiva_wdata_update_table, workiva_wdata_delete_table, and workiva_wdata_list_tables by indicating a create operation.

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 guidance on when to use this tool vs alternatives. It does not mention prerequisites, such as needing a connection or workspace, nor does it explain when one would choose create_table over create_query or upload_file. No 'use when' or 'instead of' context is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dbett4/regulated-reporting-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server