Skip to main content
Glama
mjyoo2
by mjyoo2

batch_fill_fields

Fill multiple named fields in a document simultaneously by providing a map of field names to text values, reducing repetitive edits.

Instructions

Fill multiple fields at once (batch operation).

Args: doc_id: Document ID from open_document fields: Dict mapping field names to text values

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_idYes
fieldsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden. It only states the effect ('fill') without disclosing behaviors such as overwriting behavior, prerequisites (beyond doc_id origin), error handling, or partial failure semantics. This is inadequate for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, leading with the core purpose ('Fill multiple fields at once') and then enumerating the two parameters in a clean Args block. No wasted words.

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?

Given the tool has an output schema (not displayed) and only two parameters, the description provides basic completeness. However, it lacks behavioral context like whether the operation is atomic, whether it overwrites existing field values, or what happens if a field name is invalid. For a batch operation with no annotations, more detail is expected.

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?

Schema coverage is 0%, but the description adds meaning: doc_id is identified as coming from open_document, and fields is described as a dict mapping field names to text values. This explains both parameters effectively, though it omits constraints like whether fields must pre-exist.

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 the tool fills multiple fields at once, which is a specific verb+resource. The batch aspect distinguishes it from siblings like put_field_text (single field), making its purpose unambiguous.

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

Usage Guidelines3/5

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

The description implies use for batch operations but does not explicitly mention alternatives or when not to use it. It lacks explicit guidance like 'use for multiple fields; use put_field_text for single fields,' so usage context is only implied.

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/mjyoo2/hwp-mcp'

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